About the role

What you’ll do

• Build and deploy client-facing AI solutions across the Microsoft ecosystem
• Translate defined business outcomes and use cases into secure, data-connected agents, workflows, and applications
• Support AI solutions from requirements and design through deployment and handoff
• Deploy AI solutions into production with monitoring, documentation, and support handoff
• Apply enterprise data governance, identity, permissions, and secure deployment patterns

What you’ll need

• 1–2 years of client-facing experience in a technical, consulting, implementation, or delivery role
• 1–4 years of software development, data engineering, automation, or AI solution development experience
• Strong prompt engineering, context engineering, and technical solution design skills
• Hands-on experience with Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform, or Microsoft Fabric
• Experience building GPTs, projects, skills, agents, assistants, workflows, and enterprise data integrations
• Experience deploying AI solutions into production with monitoring, documentation, and support handoff

Original job description