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Senior QA Engineer
Rain Technologies Inc.
New York, NY
- $165,000 to $185,000 USD / year
We are looking for an experienced QA Engineer to be a part of our engineering team. You will help us to improve QA processes, run tests and collaborate with teams to maintain product…
Added 1 min ago
Lead Forward Deployed Engineer (FDE) - AI Platforms (ML, LLMs, APIs, ML Ops)
Target Enterprise Inc
Remote, United States
JOIN TARGET AS A LEAD ENGINEER – FORWARD DEPLOYED ENGINEERING - AI PLATFORMS
Added 2 mins ago
Head of Forward Deployed Engineering
Bausch + Lomb
Washington, DC
Bausch + Lomb is seeking a Head of Forward Deployed Engineer (FDE) to turn AI from pilots into production capability across B+L. This is a hands-on builder role embedded in manufacturing,…
Added 2 mins ago
Senior Lead Engineer
PwC
Washington, DC
As a Senior Lead Engineer you will lead custom application development and testing efforts that help clients turn business needs into scalable software solutions across cloud-native and…
Added 2 mins ago
Lead Engineer
PwC
Washington, DC
As a Lead Engineer you will guide the design, build, testing, and modernization of custom applications across cloud-native and on-premise environments, using modern engineering approaches,…
Added 5 mins ago
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Deployment Architect (Solutions Architect)
monday.com
Denver, CO
- $125,000 to $160,000 USD / year
- Working proficiency in Python or TypeScript and regular use of AI-assisted editors such as Cursor or Claude Code, sufficient to prototype a design and to evaluate the approach an engineer…
Added 7 mins ago
Business Solution Engineer
Highspring
NY
Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes.
Added 9 mins ago
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Senior Embedded Software Engineer
Actalent
Madison, AL
- $150,000 to $215,000 USD / year
Job Title: Senior Embedded Software EngineerJob DescriptionThis Senior Embedded Software Engineer role focuses on the architecture, development, integration, and testing of advanced…
Added 18 mins ago
Staff Site Reliability Engineer, InfraSec
MongoDB
NY
Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability
Added 18 mins ago
Senior Site Reliability Engineer, InfraSec
MongoDB
Dallas, TX
Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability
Added 19 mins ago
AI
Network and Security Engineer, Defense
Applied Intuition
Sunnyvale, CA
- $150,000 to $200,000 USD / year
- A track record of setting technical direction for multi-engineer efforts as an architect, technical lead, or senior IC, and mentoring other engineers along the way
Added 21 mins ago
Engineering Team Lead, Data Engineer
Canopy
Draper, UT · UT
We’re seeking an Engineering Team Lead to lead engineering efforts on our Embedded Analytics team. As an Engineering Team Lead, you will combine deep technical expertise with strong…
Added 25 mins ago
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Boston Preferred - Data Engineer
Kforce
Remote, United States
- $65 USD / hour
Kforce has a client that is seeking a Data Solutions Engineer in San Antonio, TX.
Added 33 mins ago
Staff AI/ML Software Engineer - Level 5
Northrop Grumman
Colorado Springs, CO · Colorado Springs
…has an exciting career opportunity for a Staff AI Software Engineer – TASD AI/ML Lead to guide and drive our artificial intelligence and machine learning initiatives (AI/ML), at Schriever…
Added 36 mins ago
Flight Test Engineer - Advanced Effects (Missiles)
Anduril Industries
Costa Mesa, CA
Act as lead or supporting test engineer for missile or weapon systems to include development, certification and integration test of subsystems to the AUR configuration.
Added 40 mins ago
DevSecOps & AI Platform Engineer (Hybrid)
RTX
United States
Scripting experience using Python, Bash, PowerShell, or similar languages.
Added 42 mins ago
Senior AI Data Engineer - GPSC Insights Engineering
General Motors LLC
Austin, TX
As a Senior AI Data Engineer, you will design, build, and optimize industrialized data assets, AI data products, and data platforms that support Business Intelligence, Advanced Analytics,…
Added 42 mins ago
Senior Feature Engineer
General Motors LLC
Warren, MI · Seattle, WA · Austin, TX · Mountain View, CA
As a Senior Feature Engineer, you will lead the design, development, and operation of our governed feature platform, the shared infrastructure, standards, and tooling that domain teams use…
Added 46 mins ago
Customer Engineer AI/ Start Up's
Cloudflare
San Francisco, CA
…equally comfortable jumping into a Slack channel with a founding engineer, whiteboarding an architecture with a lead developer, and stepping into a strategic conversation with a CTO about…
Added 47 mins ago
AI Platform Engineer
GiveCampus
United States
This is a platform role. You'll work alongside a product partner and co-builder (the AI Transformation Lead) who owns prioritization, stakeholder management, and adoption, so you can spend…
Added 49 mins ago
Full-stack Engineer 4
Capital One
Richmond, VA
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…
Added 49 mins ago
Full-stack Engineer 5 (Sr. Lead / Sr. Manager IC)
Capital One
McLean, VA · Richmond, VA · NY · Wilmington, DE
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…
Added 49 mins ago
Full-stack Engineer 4
Capital One
Plano, TX
…auto loan. Leveraging a modern full-stack ecosystem, you will engineer critical infrastructure-from reimagining core payment and ledger systems to developing compassionate platforms that…
Added 49 mins ago
Full-stack Engineer 5
Capital One
Plano, TX
…auto loan. Leveraging a modern full-stack ecosystem, you will engineer critical infrastructure-from reimagining core payment and ledger systems to developing compassionate platforms that…
Added 49 mins ago
Full-stack Engineer 4 (Global Payment Network)
Capital One
Riverwoods, IL · Chicago, IL
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…

Capital One

AI Engineer 4 (Gen AI Platform Services)

San Francisco, CA, United States
McLean, VA, United States
Cambridge, MA, United States
San Jose, CA, United States
NY, United States

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Job details

Experience: At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java
Posting language: English
Posted: Nov 6, 2026

Original job description

AI Engineer 4 (Gen AI Platform Services)

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

This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.

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 4

McLean, VA: $197,300 - $225,100 for AI Engineer 4

New York, NY: $215,200 - $245,600 for AI Engineer 4

San Francisco, CA: $215,200 - $245,600 for AI Engineer 4

San 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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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More about this job

Skills

Machine learning
Research
AWS
Hugging Face
PyTorch
Regulatory compliance
Translation
Computer science
Electrical engineering
Computer engineering
ML
Python
Go
Scala
Oracle Java
Google Cloud
Microsoft Azure
C++
C#
Technical support
Recruitment

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