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 10/16/2026full-timeUnited StatesMid-LevelSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing AI systems, including foundation model training and multi-agent workflows, while ensuring compliance with ethical AI standards. Proven ability to lead technical teams and manage cost-performance governance for scalable AI solutions.

Highest-signal resume keywords

AI System DevelopmentPython ProgrammingCloud Platforms DeploymentAI/ML Algorithm OptimizationEthical AI Standards Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI AlgorithmsMachine Learning TechnologiesFoundation Model TrainingMulti-Agent WorkflowsModel EvaluationOptimization TechniquesDynamic Inference StrategiesModel CompressionGPU Utilization TrackingScalable AI Solutions

Soft Skills

Excellent CommunicationPresentation SkillsMentoring

Tools & Technologies

AWS UltraclustersHugging FaceVectorDBsPyTorchCUDAJavaPythonGoScalaC++

Industry Keywords

AI Engineering StandardsCost-Performance GovernanceEthical AI DeploymentExplainabilityFairnessHuman-in-the-Loop Review

Tech Stack

Tools & technologies

AWSCloudJavaPythonPyTorchScalaC++Go

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, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage open-source and SaaS AI technologies including 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 one of those fields plus at least 4 years of experience
At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java
Experience leading AI system development with cost, latency, throughput, and accuracy tradeoff decisions
7+ years of experience deploying scalable and responsible AI solutions on cloud platforms
Experience designing, developing, delivering, and supporting complex AI systems
Experience developing AI/ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang
Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
Experience building agentic AI systems and workflows
Experience architecting and integrating rule-based, retrieval-augmented, and generative components into unified production pipelines
Experience defining and enforcing ethical AI deployment standards, including explainability, fairness, and human-in-the-loop review
Ability to balance model performance and operational cost through dynamic inference strategies and model compression
Experience right-sizing models, instance counts, and hardware types
Excellent communication and presentation skills

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship may be considered for a new qualified applicant