Role Summary:
We are seeking a GenAI Engineer to design and implement custom Generative AI solutions using Azure OpenAI, and integrate them into Power Apps, Power Automate, and enterprise workflows.
This role goes beyond Copilot Studio and AI Builder, focusing on custom LLM orchestration, RAG architectures, and secure enterprise AI integration with Power Platform
Key Responsibilities:
Generative AI Engineering:
Design and build custom GenAI services using Azure OpenAI, AWS Bedrock etc.
Implement Retrieval-Augmented Generation (RAG) using enterprise data sources
Build and manage embedding pipelines for documents and structured data
Develop advanced prompt strategies, function calling, and tool orchestration
Implement hallucination control, grounding, and response validation
AI Governance & Operations:
Define AI evaluation metrics and testing strategies
Implement prompt versioning and model governance
Ensure compliance with Responsible AI and enterprise security standards
Create technical documentation and solution design artifacts
Required Skills & Experience:
7+ years of software engineering experience (Python / C# / Node.js)
Hands-on experience with Azure OpenAI Service
Strong understanding of:
LLM behavior and limitations
Embeddings and similarity search
RAG architectures
Experience integrating APIs with Power Platform
Experience building Power Platform solutions. PowerApps, Copilot Studio, Dataverse and Power Automate experience.
Nice to have Experience: LangChain / Semantic Kernel / LlamaIndex