Ai Solution Engineer - (Technology Support)

Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent practical experience Experience building AI-powered workflows using Azure AI Foundry, Copilot Studio and/or Now Assist 2–5 years of experience in software or cloud engineering Exposure to AI agent orchestration or multi-agent systems Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services) Familiarity with retrieval-augmented generation (RAG) or vector database integration Experience working with multiple LLMs (OpenAI GPT, Azure OpenAI, Gemini), prompt engineering, and AI-driven automation Proficient in Python, C#, or JavaScript/TypeScript 3-5 years' experience working in SaaS or enterprise environments Familiar with CI/CD pipelines, Git, and cloud deployment practices Understanding of healthcare data formats (HL7, FHIR) is a strong plus Strong problem-solving skills and eagerness to learn in a fast-moving environment

Build and support AI agents and intelligent workflows using Microsoft Azure tools Design and implement AI-powered orchestration and automation Collaborate with cross-functional teams Develop APIs, scripts, and tools to connect LLM-based agents with existing enterprise systems Support testing, deployment, monitoring, and continuous improvement of AI workflows Stay current with Microsoft’s AI platform roadmap and emerging industry trends Contribute to the evolution of our internal AI delivery model and promote AI best practices