Director, AI Engineering (Agentic AI Platform)

Capital One•San Jose, CA

1d•$293,600 - $335,100

About The Position

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies
At least 3 years of people leadership experience

Nice To Haves

5 years of experience managing and leading an engineering team
7 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 apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Responsibilities

Be responsible for defining the strategic vision, overseeing the development, and managing the growth of an organization's autonomous AI systems and platforms.
Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One
Develop and execute the strategic vision and roadmap for the agentic AI platform, ensuring it aligns with organizational priorities.
Oversee the end-to-end lifecycle of the platform, from development and integration of AI solutions to sunsetting legacy offerings.
Guide technical teams, set best practices for AI orchestration, MLOps, and application development, and ensure platform scalability and reliability.
Work with senior leaders, product management, sales, and other engineering teams to align the platform's capabilities with business goals.
Act as a champion for the platform, articulating its strategic value to senior stakeholders and influencing enterprise decision-making.
Foster a culture of innovation and drive the adoption of AI-powered tools across the organization.
Ensure the platform is developed and deployed in compliance with industry regulations and ethical AI best practice
Set a strategic roadmap, collaborating with cross-functional teams, and ensuring the platform's compliance with ethical and regulatory standards.
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.
Advise on the selection of technologies, programming languages, AI/ML models, orchestration engines, and deployment platforms.
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies.
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.