This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
Lead the operationalization of responsible, scalable AI systems that power production foundation models and related capabilities at Capital One. This onsite Sr. Manager, AI Engineer role in San Jose, CA blends hands‑on technical execution with cross‑functional leadership to deliver measurable, AI‑powered outcomes for associates and customers.
What you’ll do
Work with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that improve how associates work and how customers interact with Capital One.
Oversee AI software components across the lifecycle, from design and development to testing , deployment , and support , including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Make high‑judgment build‑versus‑buy decisions across Open Source and SaaS AI technologies such as AWS Ultraclusters , Huggingface , VectorDBs , PyTorch , and more.
Drive state‑of‑the‑art foundation model optimization techniques to improve performance across scalability , cost , latency , and throughput for large‑scale production AI systems.
Contribute to the technical vision and long‑term roadmap for foundational AI systems at Capital One.
Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts.
Operationalize Responsible AI by establishing review gates, documentation and evaluation requirements, and rollout and rollback standards for production AI systems.
Build collaboration interfaces with Research, Data, and Platform teams to accelerate the model lifecycle.
Attract and retain top AI talent, nurture personal and professional growth, and foster a culture of learning and staying current with the state of the art.
Required qualifications
Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years developing AI and ML algorithms or technologies, or a Master’s degree plus at least 4 years developing AI and ML algorithms or technologies.
At least 1 year of people leadership experience.
Technologies you may work with
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, C++, C#, Java, CUDA, Golang, AWS, Google Cloud, Azure.
How you’ll fit in
You enjoy building systems with a strong focus on quality and doing the right thing, bringing AI to problems that help change banking.
You stay close to the latest research and can interpret scientific work and apply novel techniques thoughtfully in production.
You find fulfillment in enabling others through mentoring and coaching, stepping in hands‑on when needed, and leading by example.
You can bring clarity to ambiguous problems, dig into root causes, and communicate findings clearly while sharing new ideas even when they are unproven.
You are deeply technical with strong foundations in engineering and mathematics, using expertise across hardware, software, and AI to identify optimization opportunities.
You are resilient and able to forge new paths when the route to the goal is not defined.
Compensation: USD 250,800 - 286,200 per year.
Location: San Jose, CA (onsite).
#J-18808-Ljbffr
Worksite address
san jose, CA, 95199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.