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Enterprise brand, metro Pune, specialized LLM focus and senior level yield medium competition.
Core ML/LLM skills are transferable, but enterprise and IoT context raises domain specificity.
Explicit 7+ years, mandatory LLM experience and specific tech/cloud/MLOps requirements make shortlisting strict.
Lead architecture, development, and deployment of scalable AI solutions including LLM-based applications and enterprise-specific use cases like document intelligence and conversational AI.
Define end-to-end architecture and technical direction for complex AI systems integrating across products with focus on production readiness, security, cost, and scalability.
Partner with stakeholders to identify and deliver high-value AI opportunities, guiding from discovery through production adoption and influencing AI product and platform roadmaps.
Degree or equivalent experience in Data Science, AI, Computer Science, Engineering, or related quantitative field.
7+ years of hands-on experience in AI engineering, data science, or machine learning including leadership in architecture and production delivery of complex AI solutions.
Minimum 2 years practical experience with LLMs, generative AI, RAG, or related foundation-model technologies.
Experience with cloud AI platforms (e.g. Azure OpenAI, Azure ML, Hugging Face, AWS Bedrock) and strong Python and SQL skills.
Experienced AI engineering leader with proven success deploying enterprise-scale ML, NLP, or LLM-powered solutions.
Strategic thinker capable of aligning AI initiatives to business outcomes and influencing cross-functional teams including product, engineering, security, and executives.
Hands-on expertise in advanced AI techniques including prompt engineering, fine-tuning, model evaluation, and enterprise-grade AI solution architecture and governance.