Lead of AI Solutions R&D

Role Overview: Lead the design and development of innovative AI and Data solutions for Banking and Insurance customers. Work closely with leadership to convert ideas into market-ready offerings using Microsoft technologies, open-source AI tools and multi-cloud platforms.

Key Responsibilities

• Lead AI and Data R&D initiatives from concept to production.
• Build reusable accelerators, PoCs, MVPs and solution IP for banking and insurance use cases.
• Design solutions for data discovery, data classification, governance, security, compliance and AI-assisted automation.
• Develop enterprise AI applications, agents, copilots, RAG solutions and AI-assisted QA platforms.
• Evaluate emerging technologies across Microsoft, open source AI and multi-cloud ecosystems.
• Mentor junior engineers and create a high-energy innovation culture.
• Collaborate with customers to translate business problems into practical technology solutions.

Required Skills

• Python and modern engineering practices ,
• Azure and Microsoft AI ecosystem (AI Foundry, CoPilot Agents, MS Fabric, MCP servers)
• GenAI, Agentic AI and RAG solution development
• Data architecture, governance, security and compliance
• Solution architecture and technical leadership

Value added Skills

• AWS and/or Google Cloud experience
• LangChain, LlamaIndex, Ollama or similar
• BFSI domain exposure

Education

• Bachelors degree in Computer Science, IT, AI, Data Science, Engineering or related discipline is required.
• Masters degree, Microsoft/AWS/GCP certifications or AI/ML certifications are preferred.

Mindset & Soft Skills

• Out-of-the-box thinking
• Not afraid to try new things
• Killer instinct to achieve solutions
• Thrives in ambiguity
• Strong ownership and bias for action
• Relentless curiosity and continuous learning