Senior Lead AI Engineer – MLXT

Capital One

Senior Lead AI Engineer at Capital One driving AI/ML infrastructure and workflows to transform banking experience for customers. Modernizing existing systems and implementing generative AI capabilities.

Posted 7/29/2026full-timeMcLean • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing and deploying AI and ML algorithms, with a strong focus on scalable solutions and cloud platforms. Proven ability to lead engineering teams and communicate complex AI concepts effectively.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentCloud Platform Deployment (AWS, Google Cloud, Azure)Python ProgrammingTeam Leadership And MentoringAutoML Innovation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

AI Algorithm DevelopmentML Algorithm DevelopmentPython ProgrammingGo ProgrammingScala ProgrammingJava ProgrammingC++ ProgrammingC# ProgrammingAutoML TechniquesOptimizing Training And Inference Software

Soft Skills

Excellent Communication SkillsPresentation Skills

Tools & Technologies

Cloud PlatformsLow-Code/No-Code ToolsGenerative AI CapabilitiesAgentic InfrastructureAutomated Governance Frameworks

Industry Keywords

AI DevelopmentML DevelopmentScalable AI SolutionsComplex AI SystemsEnterprise Guardrails

Tech Stack

Tools & technologies

AWSAzureCloudGoJavaPythonScala

About the role

Key responsibilities & impact

Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts.
Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails.
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days.
Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks.

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 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 (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
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Benefits

Comp & perks

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Performance-based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI)