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Senior Lead AI Engineer, GenAI Platform – Agentic Infrastructure
Capital OneSenior Lead AI Engineer developing AI-powered products that change banking for good at Capital One. Collaborating with cross-functional teams to deliver state-of-the-art AI solutions.
Posted 6/23/2026full-timeNew York City • California, Massachusetts, New York, Texas, Virginia • 🇺🇸 United StatesSenior💰 $250,800 - $286,200 per yearWebsite
Tech Stack
Tools & technologiesAWSAzureCloudGoJavaOpen SourcePythonPyTorchScala
About the role
Key responsibilities & impact- 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 a broad stack of 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 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.
Requirements
What you’ll need- 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
- 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 (e.g. 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
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Comprehensive and competitive benefits pack
- Performance-based incentive compensation
- Discretionary cash bonuses
- Long-term incentives
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI software developmentML algorithmsPythonGoScalaJavaC++C#large language model inferencesimilarity search
Soft Skills
leadershipmentoringcommunicationpresentationcross-functional collaboration
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in AIBachelor's degree in Electrical EngineeringBachelor's degree in Computer Engineering