AI Engineer 5, MLX, Agentic AI, Gen AI platform Services

Capital One

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

Posted 9/23/2026full-timeUnited StatesMid-LevelSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in developing and optimizing AI systems, including foundation model training and LLM inference, while ensuring compliance with ethical AI standards. Proven ability to lead technical teams and manage cost-performance governance in AI deployments.

Highest-signal resume keywords

AI System DevelopmentPython ProgrammingLLM InferenceCost-Performance GovernanceAI/ML Technologies

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 AlgorithmsMachine LearningFoundation Model OptimizationMulti-Model OrchestrationModel EvaluationSimilarity SearchDynamic Inference StrategiesModel CompressionAgentic AI SystemsEthical AI Standards

Soft Skills

MentoringCollaborationLeadership

Tools & Technologies

AWS UltraclustersHugging FaceVectorDBsPyTorchCloud Platforms

Industry Keywords

AI Engineering StandardsGPU UtilizationScalable AI SolutionsProduction PipelinesOperational Cost Management

Tech Stack

Tools & technologies

AWSCloudJavaOpen SourcePythonPyTorchScalaGo

About the role

Key responsibilities & impact

Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage 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 production AI systems
Contribute to the technical vision and long-term roadmap of foundational AI systems
Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models
Establish and lead cost-performance governance reviews, tracking GPU utilization, model throughput, and inference cost efficiency
Lead design councils or review boards to ensure technical consistency and compliance with AI engineering standards
Mentor Principal- and Manager-level AI engineers and elevate organizational technical maturity

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 6 years of programming experience with Python, Go, Scala, CUDA, or Java
Strong foundation in engineering and mathematics
Experience leading AI system development with cost, latency, throughput, and accuracy tradeoffs
Experience deploying scalable and responsible AI solutions on cloud platforms
Experience designing, developing, delivering, and supporting complex AI systems
Experience with AI/ML technologies including LLM inference, similarity search, VectorDBs, guardrails, and memory
Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
Experience building agentic AI systems and workflows
Experience architecting heterogeneous AI systems into unified production pipelines
Experience defining and enforcing ethical AI deployment standards
Ability to balance model performance and operational cost through dynamic inference strategies and model compression
Experience right-sizing models, instance counts, and hardware types
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
Employment authorization sponsorship may be considered for a new qualified applicant