Senior Manager, AI Engineer

Capital One

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

Posted 10/7/2026full-timeUnited StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and ML algorithms, with a strong foundation in programming languages such as Python and C++. Proven ability to lead multidisciplinary teams in developing scalable AI solutions while operationalizing Responsible AI practices.

Highest-signal resume keywords

AI/ML AlgorithmsLarge Language Model InferenceCloud Platforms (AWS, Google Cloud, Azure)Programming (Python, C++, C#, Java, CUDA, Golang)People Leadership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Software DevelopmentFoundation Model TrainingModel EvaluationSimilarity SearchMLOpsDrift MonitoringModel GovernanceAgentic AI SystemsOptimization TechniquesEvaluation Pipelines

Soft Skills

Excellent Communication SkillsMentoringTeam LeadershipCollaborationPresentation Skills

Tools & Technologies

VectorDBsAI ObservabilityCloud InfrastructureOpen-Source AI TechnologiesSaaS AI Technologies

Industry Keywords

Responsible AIAI GovernanceTechnical StrategyProduction SLOsScalable AI Solutions

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonC++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
Lead foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Make build-versus-buy decisions across open-source and SaaS AI technologies
Introduce foundation model 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 AI talent and support team members' personal and professional development
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 field plus at least 6 years of experience developing AI and ML algorithms or technologies; or Master's degree in one of those fields 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 with AI/ML algorithms or technologies including LLM inference, similarity search, VectorDBs, guardrails, and memory
Programming experience with Python, C++, C#, Java, CUDA, or Golang
Experience building agentic AI systems and workflows
Familiarity with MLOps, AI observability, evaluation pipelines, drift monitoring, and model/version governance
Experience right-sizing models, instance counts, and hardware types for requirements such as context length and token inputs/outputs
Strong engineering and mathematics foundation, with expertise in hardware, software, and AI
Ability to understand scientific publications and apply novel AI techniques in production
Experience leading technical strategy for multidisciplinary AI teams
Track record mentoring engineers/scientists to productize prototypes and meet production SLOs
Excellent communication and presentation skills
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities