Capital One seeks a Senior Lead AI Engineer to advance Gen AI Platform Services and Agentic AI initiatives in McLean, VA.

Collaborate with a cross functional team of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that transform how associates work and how customers interact with Capital One.
Design, build, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Utilize a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and related tools.
Develop and apply state of the art LLM optimization techniques to improve performance metrics including scalability, cost, latency, and throughput for large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields, plus at least 6 years of experience developing AI and ML algorithms or technologies.
Master'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.
At least 6 years of experience programming with Python, Go, Scala, or Java.

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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.
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Location: McLean, VA (onsite).
Salary range for McLean, VA: $229,900 - $262,400 for Senior Lead AI Engineer.
Other listed locations and ranges: New York, NY: $250,800 - $286,200; Cambridge, MA: $229,900 - $262,400; San Francisco, CA: $250,800 - $286,200; San Jose, CA: $250,800 - $286,200. Salaries for other locations will reflect the range for that location.
Incentives: eligible for performance based incentive compensation, which may include cash bonuses and/or long term incentives.
Benefits: Capital One offers a comprehensive benefits package including health and financial benefits; details on eligibility vary by status and level.
Application timeline: role is open to applications for a minimum of 5 business days.
Compliance: no agencies; Capital One is an equal opportunity employer (EOE, including disability and veteran status) and maintains a drug-free workplace; background checks governed by applicable laws.

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI)

Job Description