Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

About the role

The Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services) role at Capital One involves partnering with a cross-functional team to deliver AI-powered products that transform how associates and customers interact with Capital One. Key responsibilities include overseeing the design, development, testing, deployment, and support of AI software components, making build-vs-buy decisions, and contributing to the technical vision and roadmap for foundational AI systems.

Responsibilities

• Partner with a cross-functional team to deliver AI-powered products that change how associates and customers interact with Capital One.
• Oversee the design, development, testing, deployment, and support of AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies.
• 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.
• Attract and retain top talent in the AI industry and nurture personal and professional development for your team.
• Foster a culture of learning and staying abreast of the state-of-the-art in AI.

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, 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 1 year of people leadership experience.

Qualifications

• 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 1 year of people leadership experience.
• 3 years of experience managing and leading an engineering team.
• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
• 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.
• Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Skills

• Deeply Technical background in engineering and mathematics.
• Expertise in hardware, software, and AI enabling optimization opportunities.
• Resilient and adaptable, able to forge new paths to achieve business goals.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial, and other benefits.

Pay

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Schedule

Full-time position.