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High—Tier-1 brand, mid-level AI role, Mumbai metro, and broad GenAI skill demand increase applicant density.
Medium—core GenAI skills transferable, but BFSI regulatory experience preference increases domain specificity.
High—explicit 5–7 years requirement plus specific ML/GenAI tech stack and governance expectations.
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Design and implement end-to-end AI/GenAI solutions including LLMs, RAG architectures, and AI agents aligned with business objectives.
Collaborate with stakeholders to translate business requirements into scalable AI architectures using cloud technologies (AWS, Azure, GCP).
Lead AI solution integration with enterprise apps, establish AI governance, model monitoring, and drive technical leadership throughout AI development lifecycle.
5-7 years of experience in AI architecture or related roles at Senior Consultant level.
Experience with Python, AI frameworks (LangChain, LangGraph, LlamaIndex), cloud platforms (AWS, Azure, GCP), and AI governance.
Prior experience in Banking, Financial Services, or Insurance (BFSI) sector is highly desirable.
Work Experience Required: 5-7 years explicitly mentioned. Notice period: Not explicitly mentioned.
Experienced in delivering AI solutions specifically for BFSI domain focusing on regulatory, risk, fraud, and operational AI use cases.
Strong technical leadership and architecture skills with hands-on expertise in cloud-native AI platforms and MLOps.
Able to mentor teams and drive AI governance, explainability, and compliance practices in enterprise environments.