Overview
Design, architect and deploy advanced Agentic AI solutions on Microsoft's ecosystem, building scalable multi-agent systems and AI-powered applications while ensuring responsible, governed AI practices.
What you'll do
- Act as an SME in Microsoft Agentic AI solutions, with hands-on expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services (LLMs & SLMs).
- Lead the design and architecture of multi-agent systems and integrate them seamlessly into enterprise ecosystems.
- Collaborate with engineering and product teams to deliver cutting-edge GenAI/Agentic solutions with measurable business impact.
- Define and implement Responsible AI practices across solution lifecycles, ensuring compliance with ethical standards and regulatory requirements.
- Mentor and guide teams on best practices in agentic AI system design, orchestration, and deployment.
- Drive key architectural and technical decisions across multiple projects and teams.
- Facilitate knowledge-sharing sessions and training on Microsoft's Agentic AI stack.
- Continuously evaluate solution performance and recommend optimizations for scalability, accuracy, and compliance.
What you'll need
- Deep expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.
- Strong knowledge of Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning, deployment, and integration into enterprise systems.
- Proven experience designing and implementing agentic AI architectures.
- Hands-on experience in Python and Visual Studio Code.
- Minimum 18 years of experience is required.
- Minimum 8 years of experience in Microsoft AI and 2 years of experience in Agentic AI Architecture.
- 10+ years in Azure PaaS.
- 13+ years of total experience in IT.
- 15 years of full-time education is required.
Nice to have
- Azure OpenAI Service, Microsoft BOT Framework, Microsoft Azure Machine Learning.
- Strong understanding of Responsible AI frameworks and governance policies.
- Ability to work with cross-functional teams to deliver scalable AI solutions.
- Knowledge of compliance and regulatory requirements in AI.
- Strong problem-solving and decision-making abilities.
Details
Read the full description and apply on the company’s own careers page.