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Senior Manager, AI Engineering – People Leader, Gen AI Platform Services
Capital OneCapital One AI engineering leader building generative AI platforms for banking. Overseeing scalable LLM systems, optimization, governance, and engineering talent development.
Posted 8/4/2026full-timeSan Jose • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI and ML algorithms, with a strong focus on LLM inference, similarity search, and scalable AI solutions. Proven leadership in mentoring teams and driving technical vision in AI product development.
Highest-signal resume keywords
AI And ML Algorithm DevelopmentLarge Language Model InferenceCloud Platform Deployment (AWS, Google Cloud, Azure)Python ProficiencyPeople Leadership Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Software DevelopmentMachine Learning AlgorithmsLLM Optimization TechniquesSimilarity SearchVectorDBsGuardrailsModel EvaluationExperimentationGovernanceObservability
Soft Skills
Excellent Communication SkillsMentoring And CoachingTeam LeadershipCollaborationPresentation Skills
Tools & Technologies
AWSGoogle CloudAzurePythonC++C#JavaGolang
Industry Keywords
AI-Powered ProductsScalable AI SolutionsTechnical VisionFoundational AI SystemsOpen-Source AI Technologies
Tech Stack
Tools & technologiesAWSAzureCloudGoJavaPython
About the role
Key responsibilities & impact- Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
- Oversee design, development, testing, deployment, and support of AI software components
- Lead foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
- Make build-vs-buy decisions across open-source and SaaS AI technologies
- Invent and introduce LLM optimization techniques to improve scalability, cost, latency, and throughput of production AI systems
- Contribute to the technical vision and long-term roadmap of foundational AI systems
- Attract and retain top AI talent
- Nurture personal and professional development through mentoring and coaching
- Foster a culture of learning and staying current with state-of-the-art AI
Requirements
What you’ll need- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 6 years of experience developing AI and ML algorithms or technologies; or Master's degree in a related field plus at least 4 years of such experience
- At least 1 year of people leadership experience
- Preferred: 3 years of experience managing and leading an engineering team
- Preferred: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
- Experience developing AI and ML algorithms or technologies, including LLM inference, similarity search and VectorDBs, guardrails, and memory
- Proficiency with Python, C++, C#, Java, or Golang
- Passion for staying abreast of the latest AI research and AI systems and applying novel techniques in production
- Excellent communication and presentation skills, with ability to articulate complex AI concepts to peers
- Strong foundation in engineering and mathematics
- Ability to understand scientific publications and apply novel techniques in production
- Ability to mentor and coach team members
- Capital One will consider sponsoring a new qualified applicant for employment authorization
Benefits
Comp & perks- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
- Employment authorization sponsorship may be considered for a new qualified applicant
- Reasonable accommodations for applicants requiring them