Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

About the role

The role of Senior Lead AI Engineer involves partnering with a cross-functional team to deliver AI-powered products that transform how associates work and customers interact with Capital One. Responsibilities include designing, developing, testing, deploying, and supporting AI software components, leveraging a broad stack of AI technologies, and contributing to the technical vision and roadmap of foundational AI systems.

Responsibilities

• Partner with a cross-functional team to deliver AI-powered products
• 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 of large scale production AI systems
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

Requirements

• 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
• 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

Qualifications

• You love to build systems, take pride in the quality of your work, and share our passion to do the right thing
• You are passionate about staying abreast of the latest research and intuitively understanding scientific publications
• You are adaptable and thrive on clarifying big, undefined problems
• You are deeply technical with a strong foundation in engineering and mathematics
• You are a resilient trailblazer who can forge new paths to achieve business goals

Skills

• Strong foundation in engineering and mathematics
• Expertise in hardware, software, and AI
• Ability to see and exploit optimization opportunities
• Passion for staying abreast of the latest AI research and applying novel techniques in production
• Excellent communication and presentation skills

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

Pay

The minimum and maximum full-time annual salaries for this role are listed below, by location:

• Mclean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer

Schedule

This role is full-time.