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Capital One

Senior Manager, AI Engineer

Capital One

. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products .

Posted 11/10/2026full-timeUnited StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and deploying scalable AI solutions, with a strong focus on foundation model optimization and responsible AI practices. Proven ability to lead multi-disciplinary teams, translate enterprise AI goals into actionable roadmaps, and mentor talent in the AI domain.

Highest-signal resume keywords
AI And ML Algorithm DevelopmentPeople Leadership ExperienceCloud Platform DeploymentPython ProgrammingMLOps Familiarity

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Software DevelopmentFoundation Model TrainingLLM InferenceModel EvaluationSimilarity SearchAI Optimization TechniquesAgentic AI SystemsEvaluation PipelinesDrift MonitoringModel Governance
Soft Skills
Excellent Communication SkillsPresentation SkillsMentoring Engineers
Tools & Technologies
AWSGoogle CloudAzureHugging FaceVectorDBsPyTorchCUDAGolangC++Java
Industry Keywords
Responsible AIAI ResearchTechnical StrategyModel LifecycleProduction SLOs

Tech Stack

Tools & technologies
AWSAzureCloudJavaPythonPyTorchC++Go

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, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
  • Make build-vs-buy decisions across open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
  • Invent and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems
  • Contribute to the technical vision and long-term roadmap of foundational AI systems
  • Attract and retain AI talent and support the personal and professional development of the team
  • Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts
  • Operationalize Responsible AI through review gates, documentation and evaluation requirements, and rollout/rollback standards
  • Create collaboration interfaces with Research, Data, and Platform teams to accelerate the model lifecycle

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, or a Master’s degree in these fields plus at least 4 years of experience
  • At least 1 year of people leadership experience
  • 3+ years of experience managing and leading an engineering team
  • 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 using Python, C++, C#, Java, CUDA, or Golang
  • Experience building agentic AI systems and agentic workflows
  • Passion for staying abreast of the latest AI research and AI systems and applying novel techniques in production
  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
  • Experience leading technical strategy for a multi-disciplinary AI team
  • Familiarity with MLOps, AI observability, evaluation pipelines, drift monitoring, and model/version governance
  • Track record mentoring engineers/scientists to productize prototypes and meet production SLOs
  • Experience right-sizing models, instance counts, and hardware types based on requirements
  • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

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
  • Reasonable accommodations for applicants who require them