01Overview
Role Summary
The AI Technical Lead will serve as the technical backbone of the AI CoE, responsible for designing scalable AI architectures, leading AI engineering teams, and delivering enterprise-grade AI solutions spanning GenAI, LLMs, RAG, Machine Learning, API integration, cloud platforms, and enterprise architecture.
Key Responsibilities
- Design and own enterprise AI solution architecture and engineering standards
- Lead GenAI/LLM solutions: copilots, AI assistants, document intelligence, multi-agent systems, and more
- Mentor and lead a team of GenAI/ML engineers and AI developers
- Guide ML model development (predictive, fraud, credit scoring, NLP, forecasting)
- Drive enterprise AI platform development, integrations, and cloud/DevOps practices
- Ensure secure, compliant, and responsible AI practices
Experience
- 1014 years overall software engineering experience
- 5+ years designing AI/ML solutions; 3+ years leading AI teams
- Hands-on with production-grade GenAI apps
- BFSI/FinTech experience preferred
Key Skills
- Python (expert), SQL, REST APIs
- GenAI, LLMs, RAG, Agentic AI, NLP, Prompt Engineering
- LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen
- Azure OpenAI, OpenAI API, AWS Bedrock, Vertex AI
- Vector DBs (Pinecone, Weaviate, ChromaDB, Milvus)
- Azure/AWS, Docker, Kubernetes, CI/CD .
