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Known employer, Pune metro role, and broad GenAI skillset create high applicant competition.
Specialized GenAI, LLM, agentic AI and MLOps expertise makes cross-industry fit highly sensitive.
Explicit 10-15 years, required 3-5+ years AI depth, and many specific GenAI tools raise strictness to high.
Lead design, architecture, and implementation of enterprise-grade AI solutions using Generative AI, LLMs, RAG, and Agentic AI frameworks.
Build and deploy scalable AI applications and multi-agent systems for business automation and intelligence.
Define enterprise AI architecture, governance, security standards, and mentor development teams.
10-15+ years total work experience, including 3-5+ years in AI/ML, Generative AI, or Agentic AI solutions.
Strong programming skills in Python and Temporal.
Experience with AI frameworks and technologies such as TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex, Semantic Kernel, and cloud AI platforms (Azure OpenAI, AWS AI/ML, Google Vertex AI).
Location requirement: Pune or Hyderabad.
Experienced in architecting and delivering scalable enterprise AI/GenAI solutions with deep knowledge of LLMs, RAG, and multi-agent AI systems.
Strong software engineering background with expertise in MLOps/LLMOps, AI governance, and AI monitoring practices.
Ability to lead cross-functional teams and collaborate with business and product stakeholders to drive AI innovation and transformation initiatives.