Senior Manager, AI Engineer – IFX

Capital One

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

Posted 9/21/2026full-timeUnited StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Highest-signal resume keywords

AI And ML Algorithm DevelopmentCloud Platform Deployment (AWS, Google Cloud, Azure)People Leadership ExperienceMLOps And AI ObservabilityTechnical Strategy Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC++C#JavaCUDAGolangModel Optimization TechniquesScalable AI SolutionsAgentic AI SystemsEvaluation Pipelines

Soft Skills

MentoringCoachingCollaboration

Certifications & Qualifications

Bachelor's Degree in Computer Science, AI, Electrical Engineering, or Related FieldsMaster's Degree in Computer Science, AI, Electrical Engineering, or Related Fields

Industry Keywords

Responsible AIModel GovernanceDrift MonitoringProduction SLOsTechnical Vision

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
Make build-vs-buy decisions across open-source and SaaS AI technologies
Develop foundation model optimization techniques to improve scalability, cost, latency, and throughput
Contribute to the technical vision and long-term roadmap of foundational AI systems
Attract and retain AI talent and support team development through mentoring and coaching
Translate enterprise AI goals into 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 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 those fields plus at least 4 years of such experience
At least 1 year of people leadership experience
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 technologies using Python, C++, C#, Java, CUDA, or Golang
Experience building agentic AI systems and workflows
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 system requirements
Ability to intuitively understand scientific publications and apply novel techniques in production
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
Reasonable accommodations for applicants who require them