Role Overview: Lead the design and development of creative 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 up-to-date 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 current things
Killer instinct to achieve solutions
Thrives in ambiguity
Strong ownership and bias for action
Relentless curiosity and continuous learning

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