Job description

Key Responsibilities: - Build and support AI agents and intelligent workflows using Microsoft Azure tools such as Azure OpenAI, AI Foundry, Semantic Kernel, and Copilot Studio. - Design and implement AI-powered orchestration and automation for use cases such as configuration streamlining, onboarding automation, and data migration. - Collaborate with cross-functional teams (integration, implementation, product, support) to deliver high-quality, scalable AI-driven solutions. - Develop APIs, scripts, and tools to connect LLM-based agents with existing enterprise systems. - Support testing, deployment, monitoring, and continuous improvement of AI workflows in production. - 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 across teams Qualifications & Skills: - Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. - 2–5 years of experience in software or cloud engineering. - Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services). - Experience working with LLMs (OpenAI GPT, Azure OpenAI), prompt engineering, and AI-driven automation. - Proficient in Python, C#, or JavaScript/TypeScript. - Familiar with CI/CD pipelines, Git, and cloud deployment practices. - Strong problem-solving skills and eagerness to learn in a fast-moving environment. Bonus SKills: - Experience building AI-powered workflows using Semantic Kernel, AI Foundry, or Copilot Studio. - Exposure to AI agent orchestration or multi-agent systems - Familiarity with retrieval-augmented generation (RAG) or vector database integration. - Understanding of healthcare data formats (HL7, FHIR) is a strong plus. - Prior experience working in SaaS or enterprise environments.

Requirements