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Mid-level required, known multinational brand, and metro location create moderate applicant density.
Specialized LLM and Azure-centric skills increase domain specificity but remain moderately transferable across industries.
Explicit 6–10+ years plus mandatory AI/LLM, Azure, and Python requirements make filters strict.
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Design, develop, and deploy enterprise-scale AI and intelligent automation solutions leveraging Azure AI Services, Microsoft Copilot, and Generative AI technologies.
Lead AI architecture including RAG solutions, AI agents, multi-agent systems, integrating AI with enterprise systems via REST and GraphQL APIs, microservices, and serverless frameworks.
Implement AI governance, security, observability, reliability, and continuous improvement mechanisms ensuring enterprise-grade scalability and maintainability.
6–10+ years of professional experience in AI development or system architecture involving AI/LLM technologies.
Mandatory skills: Python programming, experience with Azure AI, Microsoft Copilot, Generative AI, Agentic AI, LangChain, GraphQL, REST APIs, and solution architecture.
Location Requirement: Must be willing to work onsite in Pune; Primary location only.
Relocation support available; visa sponsorship not provided.
Experienced software engineer with strong solution architecture skills focused on enterprise-grade AI and intelligent automation applications.
Proven ability to translate business challenges into scalable AI-driven solutions integrating multi-agent AI orchestration and cloud-based services.
Comfortable leading technical discussions, mentoring teams, and responsible AI implementation at scale in an enterprise environment.