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Senior AI & Automation Architect — Healthcare Impact
Alignment Healthcare USA, LLC in
orange, ca
Compensation: 172.000 - 259.000

Alignment Health in the United States seeks a Principal AI & Automation Engineer to define and execute the AI/automation strategy for the Medicare Advantage business. You will design, deliver, and scale AI-powered systems and intelligent automation, partnering with DTS leadership, Clinical Operations, Finance, Claims, and Product to reduce administrative burden and improve care quality.

The role requires 8–12 years in software/AI, 3–5 years in a senior position, expertise in ML, NLP, RPA, cloud

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Senior ML Explainability Engineer — Remote + Equity
Elloe AI
austin, tx
Compensation: 180.000 - 260.000

Elloe AI is the trust layer for AI, and this Staff ML Systems Engineer role owns the explainability stack used to inform deployment decisions. You’ll build SHAP overlays that run in production with sub-100ms latency and real trace logs, tied to actual decisions.

We expect you to ship ML infrastructure at real-world scale, reason about SHAP limits, and collaborate across policy, risk, and product to ensure compliance and auditable outputs.

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Federal Security SD-WAN Architect
Versa Networks
northern, ky
Compensation: 200.000 - 280.000

Versa Networks is seeking a Solution Federal Security Solution Architect to help customers evaluate, adopt, and expand the use of our Secure SD-WAN and SSE/SASE technology. The role focuses on architectural design, proof-of-concept validation, and professional services for strategic federal customers.

The position requires active TS/SCI clearance, deep networking expertise across WAN/LAN, and hands-on experience with cloud and security technologies.

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Engineering Manager
Kin Insurance, Inc.
northern, ky
Compensation: 180.000 - 260.000

Quick Summary

Lead a full-stack team building distributed, API-first systems on AWS. Player-coach role driving scalable architecture, reliable delivery, and high-performing engineers.

At this time, we are unable to sponsor employment visas for this role.

Who we are

Kin makes life simpler, more affordable, and better for homeowners — especially in the places where climate risks, rising costs, and outdated systems make it hardest. We start with smarter homeowners insurance and expand to everything homeowners need to thrive.

Using data, technology, and thoughtful human support, we’re building products that are clear, fair, and help homeowners feel confident — so homeowners aren’t left behind when they need help most.

Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve customers in 13 states (and counting). Our disciplined growth, strong customer satisfaction, and focus on long-term sustainability fosters outstanding growth, attracts marquee investors, and earns recognition and accolades, including:

  • Built In Chicago's Best Places to Work, Midsize Companies )

  • Forbes' America's Best Startup Employers )

  • Inc. 5000 Fastest-Growing Private Companies

  • Forbes’ Fintech 50

  • Great Places to Work Certified )

Most importantly, we’re building Kin to be a place where people do meaningful work with real impact — for our customers, our communities, and each other. We're excited to tell you more about how you can contribute to our rapid growth, strong unit economics, profitability, and excellent customer ratings. To learn more about how we work and what we’re building, visit kin.com and see how we work.

The opportunity

We’re looking for a passionate, entrepreneurial Engineering Manager to help us scale our product architecture and elevate our engineering execution. As Kin continues to grow, we’re evolving from monolithic systems toward distributed, modular services — and we need a hands-on leader who can guide that transformation while delivering customer-facing innovation.

This role exists at a pivotal moment: we’re balancing rapid product development with long-term system reliability, performance, and scalability. You’ll lead a full-stack team across front-end and back-end systems, partnering closely with Product to ship roadmap features while strengthening architecture and engineering standards.

Your responsibilities

  • Lead and develop a high-performing full-stack engineering team, fostering ownership, accountability, and continuous growth

  • Serve as a hands-on player-coach, contributing meaningful production code while setting technical direction

  • Drive delivery of roadmap initiatives from concept through production with predictable, high-quality execution

  • Champion API-first design and schema-first development practices (OpenAPI/Swagger, contract testing, interface-driven development)

  • Guide the decomposition of monolithic systems into modular, distributed services with clear ownership boundaries

  • Establish best practices for observability, resilience, and distributed communication (tracing, retries, idempotency, error handling)

  • Lead architectural discussions to ensure long-term maintainability, reliability, and performance

  • Partner cross-functionally with Product, PMO, and other engineering teams to align technical strategy with business priorities

  • Participate in recruiting, interviewing, and hiring to strengthen the engineering organization

Success in this role

In your first 6-12 months at Kin, success is less about checking boxes and more about the impact you create. You’ll use your skills and judgment to take ownership of meaningful work, improve how we operate, and help move Kin’s mission forward. Along the way, you’ll deliver outcomes that make a real difference for both Kinfolk and the homeowners we serve.

By the end of your first year, you should feel confident in your role, trusted as an owner, and proud of the progress you’ve helped make.

  • Your team consistently delivers roadmap initiatives with improved predictability, quality, and reduced production incidents

  • Core services have been redesigned or evolved toward modular, API-first architectures with clear service ownership and scalability

  • Engineering best practices for observability, distributed communication, and reliability are consistently adopted across your team

  • Engineers on your team demonstrate measurable growth in technical capability, ownership, and cross-functional collaboration

What you’ll bring

Core Experience & Technical Skills

  • Minimum 8 years of hands-on software development experience with strong computer science fundamentals

  • Proven experience managing or leading a team of engineers in a fast-paced environment

  • Demonstrated success acting as a player-coach who contributes meaningfully to the codebase

  • Experience building distributed systems and decomposing monoliths into modular services

  • Hands-on experience with API-first and schema-first workflows (OpenAPI/Swagger, contract testing, interface-driven development)

  • Experience with relational and NoSQL databases, message queues/brokers, and distributed system design patterns

  • Ability to design systems with clear service ownership, reliability, and modularity

  • Excellent command of the full SDLC: analysis, design, development, testing, deployment, and support

  • Strong written and verbal communication skills with the ability to convey complex technical concepts clearly

Nice to have

  • Experience with modern JavaScript frameworks (React, Angular, or Vue)

  • Familiarity with BI or big-data technologies such as Looker or BigTable

  • Experience with Ruby on Rails or similar backend frameworks

  • Exposure to regulated industries such as insurance or financial services

How we hire

We believe a great hiring experience should be clear, respectful, and human. Applications for this role are accepted on an on-going basis. While our recruiting team uses AI tools for efficiency, resumes are still screened by Kin’s in-house recruiters, and candidate evaluations and hiring decisions are made by recruiters and hiring teams. Rest assured, real people make real decisions.

The hiring process and timeline for each role will vary, depending on the position. However, here are some things you can expect from us:

  • Prompt updates and feedback following interviews

  • Interviews with recruiters, hiring managers, and members of teams

  • Skills assessment relevant to the position, if applicable

  • Genuine, thoughtful human interaction at every step

How we support you

We offer a comprehensive, competitive benefits program, allowing you to choose the benefits that are best for you and your family, starting on the first day of the month following your start date.

Core Benefits

  • Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level

  • 401(k) with company match up to 4% of eligible earnings

  • Multiple medical plan options, plus dental and vision coverage

  • Company-funded HSA contributions (based on medical plan selection)

  • Company-paid life insurance and short-term disability

Health & Wellbeing

  • A variety of supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance

  • Access to mental health support and confidential counseling resources

  • Flexible PTO for exempt employees (most employees take 15-20 days per year), plus 8 company-observed holidays

  • Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents

Growth & Development

  • Career mobility and internal growth opportunities across the organization

  • Professional development budgets for certifications, conferences, and learning available, subject to management approval

How we work

We don’t just hire for skills. We hire for alignment. Kinfolk bring diverse perspectives, but we’re united by a shared set of values that shape how we work and how we show up for each other and our customers.
Run through walls, together - Every one of us is responsible for creating the culture we want to work in. High performance. Low drama. Always respectful. We assume the best in each other and challenge ideas, not intentions. We show up, work hard, and play to each other's strengths — because that’s how great teams win.

Raise the bar. Drop the ego - Attitudes are contagious. Every one of us is responsible for creating the culture we want to work in. High performance. Low drama. Always respectful. Like professional sports teams, we win by working in sync. We show up, work hard, and play to each other’s strengths.

Act like an owner - We are owners, fully accountable for achieving Kin’s mission. That requires positive, proactive, big-picture thinking well beyond our job descriptions. Ask questions, Take ownership. Do the right thing, even when it‘s hard. Because when Kin thrives, so do you. And so do our customers.

Operate lean. Deliver more - We build efficiency into everything we do. Each dollar we save gets reinvested to deliver more to our customers: better pricing, more products, and new innovations. We work smarter by relentlessly prioritizing and using technology, including AI, to multiply our impact. Lean is about focus, not deprivation. Lean isn't a limitation — it's our competitive advantage.

Keep asking ‘What if?’ - We value curiosity. To make insurance better for our customers, we experiment. We embrace insights. And we base decisions on data rather than assumptions. We see setbacks as opportunities for growth and are always learning and improving. Both individually and as a company.

Where we work

We are a remote-first company with offices in Chicago, IL and St. Petersburg, FL where teams can come together for collaboration.

For Sales Agents and Customer Service Agents: These roles sit in any of the following 32 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, LA, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, and WI.

For all other positions, these roles can sit in any of the following 41 states: AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, LA, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, and WI. Please only apply if you are able to live and work full-time in one of the states listed above.

For remote technical positions located in Canada, we are only able to hire individuals who reside in Ontario. Applicants must be able to live and work full-time in Ontario to be considered.

State locations and specifics are subject to change as our hiring requirements shift.

EEOC statement

Kin is proud to be an Equal Employment Opportunity and Affemitious Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Kin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation, please contact us by sending an email to

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Senior Backend Engineer II - AI-Driven Platform (Remote)
Smartsheet
workfromhome, wa
Compensation: 175.000 - 245.000

Smartsheet is seeking a Senior Software Engineer II for the Solution Lifecycle team, with remote eligibility in the US. You will build next-generation backend services and contribute to core infrastructure, ensuring reliability and scale across distributed systems.

The role emphasizes mob programming, TDD, and active use of AI tools to boost team productivity. You will mentor peers and help uphold high operational standards.

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Principal Software Engineer — TS/SCI CI Poly
Associates Systems LLC
aurora, co
Compensation: 180.000 - 240.000

Associates Systems LLC in Aurora, CO seeks a Principal Software Engineer to lead enhancements, troubleshoot, and sustain existing software within a Linux-based environment. The role spans the full software development lifecycle and requires collaboration across teams to deliver robust solutions.

The ideal candidate will have 8+ years in object-oriented development, experience with Docker containers, Jenkins, Java Messaging Service, and NetBeans, and the ability to coordinate software upgrades

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Executive AI Research Director - ML Systems & Production
JPMorgan Chase & Co.
city of rochester, ny
Compensation: 180.000 - 280.000

JPMorganChase AI Research, a global team within the Chief Data & Analytics Office, seeks an Executive Director / Research Director to advance novel AI/ML techniques and deliver production-scale solutions in finance. You will shape research directions, mentor researchers, and partner with product teams across the firm.

You will work on multi-agent systems, foundation models, reinforcement learning, and synthetic data generation, translating breakthroughs into deployed capabilities with scale and

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Manager, Full-stack Engineer
Capital One National Association
mclean, va
Compensation: 197.000 - 225.000

Manager, Full-stack Engineer

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineering leaders who are passionate about building high-performing teams, driving technical strategy and leveraging cutting-edge open-source frameworks alongside emerging technologies. In this role, you’ll be at the forefront of mentoring engineering talent and leading major technology transformations across Capital One.

What You’ll Do:

  • Drive new paradigms to lower the company’s cybersecurity risk
  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Utilize Python, serverless technologies, Open Source RDBMS and NoSQL databases, and a variety of AWS tools and services
  • Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
  • Develop and manage engineers, scaling leadership capability across teams
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks
  • Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
  • Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment

Basic Qualifications:

  • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
  • At least 4 years of experience in software engineering (Internship experience does not apply)
  • At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
  • At least 2 years of people management experience

Preferred Qualifications:

  • Experience leveraging modern AI-based coding tools and IDE copilots
  • Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
  • 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
  • 3+ years of experience with database and database management systems
  • 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
  • Master’s Degree in Computer Science or a related field
  • 4+ years of experience contributing to open source frameworks
  • 3+ years of experience with front-end JavaScript or TypeScript frameworks
  • 4+ years of experience creating synchronous and asynchronous APIs
  • 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
  • 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
  • 3+ years of experience troubleshooting technical issues within cloud environments
  • 1+ year of experience mentoring engineers and driving professional development within technical teams
  • 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives
  • Experience establishing and enforcing coding standards and design patterns across teams

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

McLean, VA: $197,300 - $225,100 for Manager, Full-stack Engineer

Plano, TX: $179,400 - $204,700 for Manager, Full-stack Engineer

Richmond, VA: $179,400 - $204,700 for Manager, Full-stack Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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AI Engineer 4 (AI Foundations, VLM Customization)
Capital One National Association
new york, ny
Compensation: 215.000 - 246.000

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

What You’ll Do:

  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi‑agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
  • Invent and introduce state‑of‑the‑art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
  • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment
  • Define and maintain service‑level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift
  • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
  • Lead cross‑functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met
  • Mentor Principal and Senior Associates on scalable design, performance tuning and research‑to‑production translation

The Ideal Candidate:

  • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good
  • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
  • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
  • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss
  • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown

Basic Qualifications:

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
  • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java

Preferred Qualifications:

  • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy
  • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  • Experience designing, developing, delivering, and supporting AI services
  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
  • Experience developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  • Experience in building agentic AI systems and agentic workflows
  • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
  • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale
  • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules
  • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for AI Engineer 4McLean, VA: $197,300 - $225,100 for AI Engineer 4New York, NY: $215,200 - $245,600 for AI Engineer 4San Jose, CA: $215,200 - $245,600 for AI Engineer 4

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Senior Software ML Engineer - Watch Software
Apple Inc.
cupertino, ca
Compensation: 142.000 - 263.000

Senior Software ML Engineer - Watch Software

San Diego, California, United States Machine Learning and AI

Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices.Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team.Come join us and build the future!

Description

The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features.We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines - from training advanced models to rapid on-device prototyping and full-scale productization.

Responsibilities

  • In this hybrid role, You'll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
  • Design, implement, and ship new ML-powered features on watchOS.
  • Integrate and deploy ML models on-device, building Swift or Objective-C frameworks that encapsulate models, interface with sensors, and communicate with UX layers.
  • Profile and optimize code for the performance and power constraints unique to Apple Watch.
  • Develop and optimize ML algorithms leveraging multimodal sensor data - like motion and audio - to detect user activities and contextual situations that enhance our understanding of real-world behavior.
  • Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device.
  • Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features.

Minimum Qualifications

  • M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.
  • Proficiency with Swift or Objective-C and developing on Apple platforms.
  • Experience using Python and deep learning frameworks such as PyTorch or TensorFlow for predictive modeling.
  • Excellent communication and collaboration skills, with ability to work independently or in small teams.

Preferred Qualifications

  • Experience optimizing and profiling applications for performance and power consumption.
  • Ability to work within the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including:

  • Comprehensive medical and dental coverage
  • retirement benefits
  • a range of discounted products and free services
  • reimbursement for certain educational expenses - including tuition
  • discretionary bonuses or commission payments
  • relocation

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple's workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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Software Development Manager, Programming Foundations, ASBX
Amazon Inc.
arlington, va
Compensation: 185.000 - 250.000

Software Development Manager, Programming Foundations, ASBX

Job ID: | Amazon Development Center U.S., Inc.

Are you an engineering leader who has defined a bold strategy for your space and delivered on it? Have you built and led teams through transformation where the ambition grew faster than the headcount, and come out the other side with big results? Amazon Software Builder Experience (ASBX) is looking for a Software Development Manager to lead the team, product and engineering strategy, and delivery of transformative testing and verification solutions at agentic scale at Amazon. We are creating new AI systems that decide what to test, write the tests, explain what went wrong, and close the loop fast enough for an agent to self‑correct without human intervention.

As a Software Development Manager in ASBX, you will be a product and people leader for products across the Testing suite. You will define the strategy for how AI-powered testing capabilities mature from early adoption (10K+ monthly active users today) into the default way every team at Amazon validates software in the AI Development Life Cycle. You will own the product vision, the roadmap, the team, and the results.

You are joining an experienced team that is already shipping. Your job is to force‑multiply it: sharpen the strategy, raise the ambition, grow and support the team, and deliver at a pace that matches how fast the problem is moving. This role requires a leader who has done this before, not someone looking to learn it for the first time.

Key job responsibilities

  • Defining and owning the product strategy for AI‑driven testing at Amazon: what to build, in what sequence, and why that sequence wins. Your strategy must be defensible to senior leadership and ambitious enough to match the rate at which agents are changing how software gets written;
  • Hiring, growing, and leading a large engineering team through a period of rapid expansion and increasing scope;
  • Partnering with your SDE, PE, and PM colleagues to translate product direction into technical architecture, and holding both accountable to coherence;
  • Meeting with customers across Amazon to understand how they test today, where their testing breaks down, and what would make them trust AI‑generated test evidence enough to ship on it;
  • Driving delivery execution at a pace that matches the domain. Capabilities in this space that ship six months late ship into a world that moved on;
  • Owning the product vision for your area. You partner with a product manager, but the vision, the conviction, and the hard prioritization calls are yours;
  • Deeply shaping the direction of TestSpaces, ensuring that the execution layer and the testing‑judgment layer evolve as a coherent system rather than adjacent efforts;
  • Communicating strategy, progress, and risk to senior leadership clearly and without hedging.

A day in the life

You lead the team building AI testing capabilities already in daily use by tens of thousands of Amazon engineers, and you are pushing those capabilities from useful individual tools into a coherent testing system that operates across the development lifecycle. On a given day you might be: working with a PE on tech strategy; reviewing architecture and tech designs with your engineers; meeting with another Amazon team as your customer; reviewing Go‑To‑Market progress with our PM, or presenting your roadmap to ASBX leadership and defending the sequencing choices.

Your customers are every builder at Amazon. Your immediate partners are your PE, your product manager, and the teams who own the testing platforms, deployment infrastructure, and AI coding tools that your work builds on and feeds into. The right product decisions in this space compound across the entire company.

About the team

Our group exists to make testing in the AI Development Life Cycle a solved problem rather than a growing liability. In the Testing org, our platforms execute millions of tests per day across every AWS region. Our AI systems make those platforms smarter: generating tests, diagnosing failures, measuring sufficiency, and helping builders ship with confidence. The Pipeline Test Fixer alone has surpassed 50,000 daily invocations and reduces median promotion‑blocking time by 25%. TestSpaces is already validated at scale, with a sibling organization running 2 million AI‑native end‑to‑end tests per month across 500+ production pipelines on our execution layer. The capabilities in our strategy range from production to proof‑of‑concept, and the person who leads this team will decide which of them become products and which get cut.

You will thrive here if you have a track record of defining product strategy in ambiguous, fast‑moving technical domains; if you have built and led high‑performing engineering teams through periods of growth; and if you have the conviction to make hard calls on what to build, and what to stop building, when the landscape shifts under you.

Basic Qualifications

  • 3+ years of engineering team management experience
  • 7+ years of engineering experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • 3+ years of Software Engineer, Software Developer, or related occupational experience
  • 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
  • 1+ years of developing large‑scale, multi‑tiered distributed software systems using Java, C#, or C++ experience
  • 1+ years of developing large‑scale, multi‑tiered distributed software systems using service‑oriented architecture experience
  • 1+ years of developing large‑scale, multi‑tiered distributed software systems using distributed programming experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience partnering with product or program management teams

Preferred Qualifications

  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .

USA, VA, Arlington - 184,900.00 - 250,200.00 USD annually

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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Senior Manager, AI Engineer Intelligence Layer
Alvarez & Marsal
chicago, il
Compensation: 190.000 - 210.000

Description

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

The Senior AI Engineer helps build A&M's Intelligence Layer, a knowledge graph based platform that makes the firm's structured and unstructured knowledge securely available through global and business unit specific search experiences. This hands-on role works with the AI Engineering Lead and Architect, the Product Owner, internal engineering teams, and delivery partners. The team is small, the work is technically demanding, and priorities will move quickly, so this role requires sound judgment, adaptability, and a willingness to contribute wherever the build needs support. This is an opportunity to help build a state-of-the-art AI architecture designed to serve an entire enterprise. Success requires technical curiosity, a forward-looking perspective, and the ability to turn emerging approaches into reliable production capabilities on an ambitious timeline.

The Senior AI Engineer will work alongside the implementation partner throughout the initial production build, contribute directly to the architecture, knowledge graph design, ingestion pipelines, retrieval services, and user-facing capabilities, and develop deep working knowledge of the platform. From the outset, this person will help establish internal ownership and assume increasing responsibility for future iterations as the partner engagement concludes.

How you will contribute

  • Build and maintain components of the Intelligence Layer, including ingestion pipelines, knowledge graph models, retrieval services, APIs, and user-facing capabilities.
  • Develop and optimize graph schemas and queries using Neo4j and Cypher or comparable graph technologies.
  • Contribute across the stack, with particular strength in back-end and Python development and the ability to support modern front-end development when needed.
  • Integrate structured data and unstructured content from enterprise systems while preserving source permissions, metadata, and governance requirements.
  • Build integrations with large language model platforms and apply the Model Context Protocol to make Intelligence Layer capabilities available to approved AI tools.
  • Build, test, and operate production agentic pipelines, including multi-step orchestration, tool routing, MCP-based tool use, retrieval, state management, evaluation, guardrails, observability, and human-in-the-loop controls.
  • Work with the Lead and Architect and delivery partners on implementation, testing, debugging, code review, and technical documentation.
  • Develop secure, maintainable software that meets A&M's requirements for client confidentiality, access control, reliability, and observability.
  • Communicate risks and blockers early and help the team make practical technical decisions as priorities evolve.

First Year Outcomes

  • Help deliver the initial production iteration of the Intelligence Layer knowledge graphs.
  • Help deliver reusable agentic pipeline components that support secure, governed workflows across business units and use cases.
  • Enable global search and business unit specific search across approved structured and unstructured data sources.
  • Deliver tested ingestion, graph, retrieval, API, and user-interface components that internal teams can operate and extend.
  • Establish reusable engineering patterns and documentation that support additional business units and data sources.

Qualifications

Required Qualifications

  • Five or more years of software engineering experience building production applications or data platforms.
  • Hands-on experience with knowledge graphs, graph data modeling, and graph query languages, ideally Neo4j and Cypher.
  • Full-stack development experience, with strong Python and back-end skills plus working experience with a modern front-end framework.
  • Experience designing, building, and consuming APIs and integrating multiple structured and unstructured data sources.
  • Practical experience with Claude, ChatGPT, or comparable large language model platforms.
  • Hands-on experience building production agentic pipelines or workflows, including orchestration, tool use, retrieval, state management, evaluation, guardrails, observability, or human oversight.
  • Working knowledge of the Model Context Protocol, including how MCP servers expose tools and data to AI clients.
  • Experience working directly with third-party delivery vendors on implementation, technical review, issue resolution, and delivery coordination.
  • Strong problem-solving, communication, and documentation skills.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

  • Hands-on experience building MCP servers, agent tools, or custom AI integrations.
  • Experience with Microsoft Azure services for application hosting, data, search, identity, or AI.
  • Experience implementing enterprise authentication and authorization using Microsoft Entra ID, OAuth 2.0, OpenID Connect, token scoping, or on-behalf-of flows.

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.

Thesalaryrange is $190,000- $210,000annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.

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Engineering Manager, Growth & Experimentation (Remote)
Atlassian Corp.
northern, ky
Compensation: 189.000 - 274.000

Atlassian is seeking a senior engineering leader to join the Spark growth team in a role that combines people leadership with technical direction.

You will mentor engineers, build a high-performing culture, and partner with Talent Acquisition to recruit diverse talent while maintaining team capacity. You’ll own outcomes, optimize processes, and guide architecture for scalable, AI-enabled platforms.

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Principal Engineer - Radar & Systems Specialist
Radiance Technologies, Inc.
huntsville, al
Compensation: 180.000 - 240.000
## Principal Engineer - Radar & Systems SpecialistApply: Huntsville, AL: Full time: Posted Today: HR The successful candidate will provide technical expertise in the areas of foreign threat radars and air defense systems. The position will include technical leadership and mentorship of personnel supporting contracts related to analysis in these areas. Additionally, the selectee will be responsible for the following: developing relationships with current and prospective customers including senior military and civilian US Government program representatives (Department of War (DoW), Intelligence Community (IC)) organizations, US allies, and commercial customers; identifying strategic teaming opportunities; and summarizing and communicating information to management and technical staff with recommendations for strategic next steps on upcoming opportunities in the DoW and the IC. The qualified candidate must demonstrate proficiency in all-source intelligence and knowledge of intelligence sources. Specifically they must have experience working with technical experts across the DoW, IC, industry, and US allies; must have the capability to grow and develop radar and all-source analysis capabilities and foster leadership capabilities within the workforce; and work with Radiance leadership to develop strategic plans to assist in achieving short and long-range business objectives and in evaluating new business opportunities and competitive strategies.**Required Skills:** * Active Top Secret/SCI Clearance with Counterintelligence polygraph* Engineering degree* Strong communication skills**Required Experience:** * Minimum of 30 years of related experience in Scientific and Technical Intelligence (S&TI) analysis* Proven knowledge of IC and DoW markets* Experience working with interagency and allied partners on intelligence analysis and support to operations* Experience with performing engineering analysis of foreign weapon systems* Demonstrated knowledge of technical S&TI sources **Desired Qualifications:** * Experience in developing and leading engineers from graduate to experienced analysts and team leaders* Demonstrated oral and written communications skills, including extensive experience performing formal presentations to government customers and senior leadershipRadiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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Senior Security Governance Engineer, Policies & Standards
GitLab Inc.
northern, ky
Compensation: 170.000 - 230.000

GitLab is seeking a Staff Security Governance Engineer to own how we write, maintain, and measure security policies and standards. You will translate regulations into actionable requirements for engineering, product, and legal teams, and use automation to keep governance lightweight and continuous.

You will work on the Security Governance team within Security Assurance, partnering with Legal, Security Compliance, and GRC Engineering to drive policy program maturity and customer trust.

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Senior Infrastructure Engineer — Mission-Critical Systems (On-Site)
Peraton
college park, md
Compensation: 176.000 - 282.000

Peraton Labs is seeking a Senior Infrastructure Engineer to implement, maintain, and enhance diverse research infrastructure systems. You will work with a cross-functional team and interface directly with the customer to ensure mission-ready, resilient, and compliant systems.

This full-time, on-site role near College Park, MD may include a sign-on bonus and requires an active TS/SCI w/ Polygraph. Strong communication and design skills are essential.

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AI Engagement Lead & GenAI Delivery Architect
Tiger Analytics Inc.
san francisco, ca
Compensation: 180.000 - 270.000

Tiger Analytics seeks an AI Engagement Lead / AI Engineering Pod Lead to drive AI/GenAI engagements from discovery through production. The role combines client-facing project leadership with hands-on engineering of LLM-powered solutions, including RAG pipelines, agentic workflows, and enterprise-grade AI services.

You will collaborate with data scientists, engineers, and product teams, architect scalable AI architectures, and guide teams on best practices for governance, monitoring, and

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Senior Autonomy Software Engineer - Maritime
Anduril-1
quincy, ma
Compensation: 191.000 - 253.000

Anduril Industries is seeking a Senior Software Engineer for Maritime Integrated Systems in Quincy, MA. You will drive end-to-end software delivery for autonomous maritime platforms, including simulation, data processing, and payload integration.

You’ll lead architecture discussions, mentor engineers, and collaborate across multi-disciplinary teams to evolve next-gen mission software. The role emphasizes ownership, end-to-end delivery, and scalable software across platforms, with travel up to

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Senior Embedded Software Engineer - Aerospace (C++, DO-178C)
Joby Aviation
santa cruz, ca
Compensation: 158.000 - 245.000

Joby Aviation seeks an embedded software engineer to design and implement C++ software for a fly-by-wire aircraft. You will work with systems engineers and hardware teams to define requirements and verification strategies, focusing on safety-critical subsystems and DO-178C compliance.

The role requires a strong background in embedded ARM platforms and hands-on testing with oscilloscopes and protocol analyzers, with onsite work in Santa Cruz, CA four days a week.

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VP, Global Infrastructure & Cloud Transformation
Uline Inc.
pleasant prairie, wi
Compensation: 180.000 - 280.000

Uline, a North America’s leading distributor, seeks a Vice President of Infrastructure to shape and execute the technology strategy powering our business. Reporting to the CIO, you will lead infrastructure operations across North America, driving modernization across data center, cloud, network and end-user environments.

You will partner with business and technology leaders to support growth with reliable, scalable technology, and you will build a high-performing leadership team focused on

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Senior Manager, Python Platform & AI SDKs
JPMorgan Chase & Co.
columbus, oh
Compensation: 190.000 - 230.000

JPMorgan Chase & Co. is seeking a Senior Manager of Software Engineering in Columbus, OH to lead an agile platform engineering team, coach engineers, and drive enterprise AI-assisted development practices.

You will influence multiple engineering teams and shape the component roadmaps, ensuring security, quality, and scalable delivery across the organization. The role emphasizes hands-on technical leadership in Java/Python/JavaScript, SDLC governance, and cloud-native architectures while

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