About the Role:

At Capital One India, we are creating responsible and reliable AI systems, changing banking for good. 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.

Team Description:

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.

What You'll Do:

- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.

- 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 such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.

- Invent and introduce state-of-the-art foundation model 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.

- Attract and retain top talent in the AI industry and nurture personal and professional development for your team.

- Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems.

Basic Qualifications:

- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering.

- At least 6 years of experience developing AI and ML algorithms or technologies.

- At least 1 year of people leadership experience.

Preferred Qualifications:

- 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).

- 6+ years of experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang.

- 3+ years of experience in building agentic AI systems and agentic workflows.

- 3+ years of experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery.

- 3+ years of experience right-sizing models, instance counts, and hardware types given requirements.

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.