Senior Manager- AI Engineer
Salary not listed • Bangalore, In • Full-time
Posted 4d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Capital One India is building responsible and reliable AI systems to transform banking. We leverage machine learning for personalized customer experiences and are at the forefront of AI adoption. Our applications of AI & ML bring humanity and simplicity to banking, and we are committed to developing world-class applied science and engineering teams. You will help reimagine how we serve our customers and businesses with the transformative power of emerging AI capabilities. The Intelligent Foundations and Experiences (IFX) team is central to this vision, advancing AI science and engineering and deploying proprietary solutions that deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products responsibly and scalably.
Responsibilities
- Partner with cross-functional teams to deliver AI-powered products.
- Oversee the design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
- Make build-vs-buy decisions for AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance of large-scale production AI systems.
- Contribute to the technical vision and long-term roadmap of foundational AI systems.
- Attract and retain top AI talent, nurturing team development and fostering a culture of learning.
- Translate enterprise AI goals into actionable team roadmaps with measurable outcomes.
- Operationalize Responsible AI by establishing review gates, documentation, evaluation requirements, and rollout/rollback standards.
- Create collaboration interfaces with Research, Data, and Platform teams to accelerate the model lifecycle.
Requirements
- 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.
- 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).
- 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 systems, and applying novel techniques in production.
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts.
- 3+ years of experience leading technical strategy for a multi-disciplinary AI team.
- Familiarity with MLOps and AI observability (evaluation pipelines, drift monitoring, model/version governance).
- 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.