Senior Lead AI Engineer – MLX Emerging AI Patterns

Capital One

Senior Lead AI Engineer developing AI-powered products that transform customer interactions. Partnering with cross-functional teams to design, develop, and optimize AI software components.

Posted 7/2/2026full-timeSan Jose • California, New York • 🇺🇸 United StatesSenior💰 $250,800 - $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 and ML algorithms, with a strong focus on large language models and scalable AI solutions. Proven ability to lead engineering teams and communicate complex AI concepts effectively.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentLarge Language Model InferenceCloud Platform DeploymentPython ProgrammingTeam Leadership And Mentoring

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 Software DevelopmentModel EvaluationExperimentationOptimization TechniquesScalable AI SolutionsFoundation Model TrainingSimilarity SearchGuardrailsLatency OptimizationThroughput Improvement

Soft Skills

Excellent CommunicationPresentation Skills

Tools & Technologies

AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchGoogle CloudAzureC++C#Golang

Industry Keywords

AI-Powered ProductsCross-Functional CollaborationTechnical VisionGovernanceObservability

Tech Stack

Tools & technologies

AWSAzureCloudGoJavaOpen SourcePythonPyTorchScala

About the role

Key responsibilities & impact

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

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

Health insurance
401(k) matching
Performance based incentive compensation
Comprehensive and competitive benefits package