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Tier-1 employer and Bangalore location increase competition, but niche GenAI/agentic skillset narrows candidate pool.
Specialized GenAI/agentic expertise transferable across industries but still requires ML-focused background.
Explicit 4–7 years and mandatory GenAI/agentic tech indicate strict technical filters.
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Define and execute the long-term roadmap for Agentic AI and Generative AI initiatives aligned with business goals.
Lead architecture and development of intelligent agent frameworks using large language models and multimodal models with fine-tuning for domain-specific use cases.
Evaluate and integrate emerging Agentic AI and Generative AI technologies like AutoGPT, LangChain, ReAct, and DSPy.
4-7 years of relevant work experience in AI or related fields.
Bachelor’s degree in Engineering (B.Tech) required; M.Tech, MBA, or MCA also acceptable.
Proficiency with GenAI/Agentic AI technologies such as AutoGPT, LangChain, ReAct, DSPy is mandatory.
Work Experience Required: 4-7 years
Experience in industries such as finance or consulting is preferred.
Demonstrated ability to lead AI strategy and development of autonomous agent frameworks at a senior associate level.
Exposure to ethical, regulatory, and societal implications of autonomous AI systems and contribution to open-source AI frameworks is advantageous.