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Tier-1 brand, metro locations, and mid-level experience raise competition.
Highly specialized Agentic AI and LLMOps skills create strong domain bias, reducing cross-industry transferability.
Explicit 6-9 years plus many mandatory LLM, LangChain, Azure, and LLMOps skills increase shortlist strictness.
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Lead design, development, and deployment of enterprise-scale AI and data science solutions, including robust pipelines and code deployment.
Collaborate with global teams to translate requirements, lead project lifecycle activities, and manage deliverables and technical standards.
Mentor junior members and drive innovation in generative AI, agentic AI architectures, multi-agent systems, and integration with cloud AI platforms.
6-9 years of hands-on experience in Generative AI, Deep Learning, or NLP.
Strong programming skills in Python and SQL with expertise in LLM implementation, fine-tuning, and Agentic AI architectures.
Experience with AI tools and frameworks including LangChain, LlamaIndex, Azure AI Foundry, MCP, Tool Calling, RAG systems, REST/FastAPI, microservices, CI/CD pipelines.
Bachelor's or Master's degree in BE/B.Tech/MCA/M.Sc or equivalent from an accredited university.
Experienced in leading complex AI/Gen AI projects and managing cross-functional teams including ML engineers and data engineers across multiple industries.
Skilled in advanced AI system architecture, lifecycle management (LLMOps), and latest research in Agentic AI and Generative AI.
Capable of driving technical innovation, client engagement, and pre-sales activities with deep expertise in multi-agent AI systems and cloud AI platforms.