Senior Manager- AI Engineer

Overview

Lead an AI engineering team within Capital One India's Intelligent Foundations and Experiences (IFX) team, delivering responsible, scalable AI systems and products.

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 that change how associates work and how 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 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 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.
• Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts.
• Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems.
• Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate the model lifecycle.

What you'll need

• Bachelor's Degree in Computer Science, AI, Electrical Engineering, or Computer Engineering.
• At least 6 years of experience developing AI and ML algorithms or technologies.
• At least 1 year of people leadership experience.

Nice to have

• 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 (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
• 3+ years of experience in building agentic AI systems and agentic workflows.
• 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.
• 3+ years of experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery.
• Familiarity with MLOps and AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance.
• Track record mentoring engineers/scientists to productize prototypes and meet production SLOs.
• 3+ years of experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs).

Details

• Location: Bangalore, Karnātaka, India.
• Capital One will not sponsor a new applicant for employment authorization for this position.
• No agencies please.