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Job Description
Structured overview of role & requirementsAbout This Role
Implement and manage Machine Learning and Generative AI solutions including large language models (LLM) to scale automation and efficiency.
Design, deliver, and maintain industrialized data processing and ML operations pipelines, ensuring best practices in ML lifecycle and LLM operations.
Collaborate with Data Science teams and stakeholders to gather requirements, present technical solutions, and produce technical documentation.
Minimum Requirements
6+ years of experience with Microsoft Copilot Studio / Azure AI Foundry and enterprise AI agent building.
Strong proficiency in working with Topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding.
Experience integrating AI agents with Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure OpenAI/Foundry models.
Understanding of Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD deployments beneficial but not strictly required.
Ideal Candidate Profile
Experienced in deploying and maintaining enterprise-scale AI/ML solutions within the Microsoft ecosystem especially using Azure AI and Power Platform.
Operates with strong technical ownership over ML lifecycle and MLOps/LLMOps frameworks supporting data science teams.
Capable of designing practical AI automation solutions involving multi-system integrations including collaboration and documentation for client presentations and technical teams.