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Tier-1 brand, metro location, mid-level AI role increases candidate competition.
ML/GenAI skills transferable, but domain regulatory knowledge raises industry specificity.
Explicit 4–7 year requirement plus mandatory GenAI/Agentic tech stack increases screening strictness.
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Define and execute long-term roadmap for Agentic AI and Generative AI initiatives to drive business value.
Lead architecture and development of intelligent agent frameworks including application of LLMs and multimodal models for domain-specific solutions.
Evaluate and integrate emerging GenAI/Agentic technologies such as AutoGPT, LangChain, ReAct, DSPy, aligning AI strategy with business goals.
4-7 years of work experience in relevant AI or data analytics roles.
Mandatory skills include experience with GenAI/Agentic technologies (AutoGPT, LangChain, ReAct, DSPy, etc.).
Educational qualification: Bachelor of Engineering (B.Tech) required; M.Tech, MBA, MCA also acceptable.
Not explicitly mentioned: notice period, specific location constraints, language or travel requirements.
Proven expertise in strategic leadership and hands-on development of intelligent agent AI frameworks.
Experience in industries such as finance or consulting and familiarity with domain-specific AI applications.
Demonstrated ability to integrate emerging autonomous AI technologies with consideration for regulatory, ethical, and societal implications.