Capital One
Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes)
Capital One, Baltimore, Maryland, United States, 21276
Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes)
Overview
At Capital One we are building responsible and reliable AI systems that change banking for good. Our technology infrastructure and world‑class talent empower us to deliver high‑performance, scalable AI capabilities with breakthrough product experiences.
Team Description The Intelligent Foundations and Experiences (IFX) team brings our vision for AI to life. We partner across the company to advance the state of the art in science and AI engineering and deploy proprietary solutions that deliver value to millions of customers.
In this role, you will:
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, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state‑of‑the‑art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of large‑scale production AI systems.
Contribute to the technical vision and the long‑term roadmap of foundational AI systems at Capital One.
The Ideal Candidate
Love to build systems, take pride in the quality of your work, and share our passion to do the right thing.
Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
Adapt quickly, thrive on bringing clarity to big, undefined problems, ask questions, dig deep, and articulate findings concisely.
Deeply technical with a strong foundation in engineering and mathematics, and expertise in hardware, software, and AI to exploit optimization opportunities.
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 the same fields plus at least 2 years of experience.
At least 4 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
Experience designing, developing, delivering, and supporting AI services.
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, similarity search, vector databases, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost.
Passion for staying abreast of the latest AI research and applying novel techniques in production.
Salary & Benefits Minimum and maximum full‑time annual salaries for this role:
Cambridge, MA: $193,400 - $220,700
McLean, VA: $193,400 - $220,700
New York, NY: $211,000 - $240,800
San Francisco, CA: $211,000 - $240,800
San Jose, CA: $211,000 - $240,800
This role is eligible for performance‑based incentive compensation and comprehensive benefits. Capital One is an equal‑opportunity employer (EOE, including disability/vet). Capital One will consider sponsoring qualified applicants for employment authorization.
Application Deadline This role is expected to accept applications for a minimum of 5 business days.
Contact & Legal No agencies please. For accommodations, contact Capital One Recruiting. For technical support, email Capital One Recruiting.
#J-18808-Ljbffr
Team Description The Intelligent Foundations and Experiences (IFX) team brings our vision for AI to life. We partner across the company to advance the state of the art in science and AI engineering and deploy proprietary solutions that deliver value to millions of customers.
In this role, you will:
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, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state‑of‑the‑art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of large‑scale production AI systems.
Contribute to the technical vision and the long‑term roadmap of foundational AI systems at Capital One.
The Ideal Candidate
Love to build systems, take pride in the quality of your work, and share our passion to do the right thing.
Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
Adapt quickly, thrive on bringing clarity to big, undefined problems, ask questions, dig deep, and articulate findings concisely.
Deeply technical with a strong foundation in engineering and mathematics, and expertise in hardware, software, and AI to exploit optimization opportunities.
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 the same fields plus at least 2 years of experience.
At least 4 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
Experience designing, developing, delivering, and supporting AI services.
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, similarity search, vector databases, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost.
Passion for staying abreast of the latest AI research and applying novel techniques in production.
Salary & Benefits Minimum and maximum full‑time annual salaries for this role:
Cambridge, MA: $193,400 - $220,700
McLean, VA: $193,400 - $220,700
New York, NY: $211,000 - $240,800
San Francisco, CA: $211,000 - $240,800
San Jose, CA: $211,000 - $240,800
This role is eligible for performance‑based incentive compensation and comprehensive benefits. Capital One is an equal‑opportunity employer (EOE, including disability/vet). Capital One will consider sponsoring qualified applicants for employment authorization.
Application Deadline This role is expected to accept applications for a minimum of 5 business days.
Contact & Legal No agencies please. For accommodations, contact Capital One Recruiting. For technical support, email Capital One Recruiting.
#J-18808-Ljbffr