MS AI Foundry

Must Have

• Azure AI Fundamentals Certification (AI-900)
• Strong experience designing, building, and deploying AI solutions using Microsoft Foundry as the primary AI development and orchestration platform.
• Proven experience working with Azure AI services (Azure OpenAI, AI Studio, model orchestration, AI agents, and multi‑step workflows).
• Hands-on knowledge of LLMs, generative AI use cases, AI agents, and traditional ML models.
• Proficiency in one or more programming languages (Python, C#, or TypeScript). High-code automation: PowerShell.
• Ability to work independently and in a team, with solid problem‑solving and solution‑design skills.
• Fluent English to communicate in meetings, emails, presentations, and cross‑team discussions.

Good to Have

• Microsoft certifications such as Azure AI Engineer Associate or Azure Solutions Architect Expert.
• Experience with enterprise governance and security frameworks (Responsible AI, monitoring, access control).
• Familiarity with Azure tools such as Azure Functions, APIM, Azure Search / Vector Databases, and data platforms.
• Experience working in large enterprises or regulated environments.
• Background designing internal accelerators, frameworks, or reusable components for AI delivery.
• Strong presentation skills and the ability to work comfortably with both technical and non‑technical audiences.

Key responsibilities/Expectations from the Role

• You will design, build, test, and deploy AI solutions using Microsoft Foundry as the core platform.
• You will develop solutions involving LLMs, generative AI use cases, AI agents, multi‑step workflows, and traditional ML models.
• You will build production‑ready AI pipelines using Azure‑native tools and services, ensuring smooth integration across the Microsoft ecosystem.
• You will apply enterprise‑grade governance, security, and compliance practices, including Responsible AI, access controls, and monitoring.
• You will integrate AI solutions with downstream applications, APIs, and data platforms within Azure.
• You will collaborate with architecture, security, and business teams to translate requirements into scalable and well‑designed AI solutions.
• You will ensure that deployed AI systems meet performance, reliability, and regulatory standards.
• You will support model evaluation, prompt engineering, lifecycle management, versioning, and optimization of AI agents.
• You will troubleshoot issues, resolve problems, and continuously improve deployed AI systems.
• You will participate in meetings to understand requirements and present ideas or partial work.
• You will estimate delivery timelines, provide progress updates, and manage your assigned tasks.
• You will collaborate regularly with team members and participate in technical discussions.
• You will help shape the operations of the new Foundry department, including processes, governance, and best practices.
• You will record your activities and progress in the management tools used by the team.