AI Development Lead/Architect (AI Innovation Program Manager)
Principal Financial · Pune, India · Data Science & Analytics
About this role
Principal Financial is hiring a manager-level AI Infrastructure Engineer in the machine learning function based in Pune, India. The posting calls out experience with AWS, GCP, Azure, LLMs.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- manager
- Track
- Individual contributor
- Location
- Pune, India
- Department
- Data Science & Analytics
- Posted
- May 14, 2026
More roles at Principal Financial
Job description
from Principal Financial careersResponsibilities About the AI Innovation Lab The AI Innovation Lab enables rapid testing of new AI ideas to validate their technical feasibility and business value. A critical input into this process is strong outside‑in research—understanding market trends, emerging technologies, competitor moves, and evolving best practices to ensure the Lab’s backlog and POCs are forward‑looking, relevant, and strategically aligned. Role Overview : This role is the senior-most technical authority for the AI Innovation Lab, responsible for designing, building, and scaling enterprise-grade AI solutions with a focus on GenAI, agentic architectures, and intelligent automation. Leads multi-disciplinary engineering teams to deliver production-ready AI capabilities at startup speed, ensuring technical feasibility, scalability, and integration with enterprise systems. Requires deep hands-on expertise across GenAI, ML, architecture, and enterprise systems Must deliver working solutions in weeks, as an extension to research and prototypes Balances cutting-edge experimentation with production-grade rigor Designs for reuse and orchestration of digital workers/agents at scale Experience with LLMs, AI tools and techniques to experiment with use cases within the Innovation Lab with speed What You’ll Do AI Solution Architecture Build Design and deliver end-to-end AI solutions, including: GenAI / LLM-based applications Agentic workflows and orchestration layers ML + analytics integration Define scalable…