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Metro location and mid-level senior title balanced by specialized LLM and MLOps requirements.
Role requires specialized ML/LLM platform and enterprise integration experience but remains transferable across industries.
Multiple mandatory AI, Azure, LLM, MLOps, integration and explicit 3-7 year requirement increases shortlisting rigor.
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Design, develop, and deploy end-to-end AI solutions including AI-powered applications using LLMs, RAG, AI Agents, and Copilot technologies.
Integrate AI solutions with enterprise platforms like SAP S/4HANA, Salesforce, Microsoft 365, Azure services, and others, building APIs, microservices, and secure data pipelines.
Deploy and support production AI solutions in Azure environments applying CI/CD, monitoring, governance, and operational best practices.
Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, or related technical field.
3-7 years of experience developing enterprise software applications, AI solutions, or digital products.
Proficiency in Python, experience deploying machine learning models and AI solutions to production preferably on Azure using CI/CD and MLOps.
Experience with Generative AI technologies (LLMs, Prompt Engineering, RAG), enterprise AI platforms (Azure OpenAI, LangChain, etc.), enterprise integrations, and cloud services (preferably Azure).
Experienced in end-to-end AI solution architecture and production deployment with strong software engineering and DevOps skills.
Familiar with integrating AI solutions across large enterprise environments and multiple platforms, demonstrating operational and delivery ownership.
Skilled in handling security, governance, and compliance aspects of AI deployments within hybrid work setups.