AI Platform Engineer (Microsoft Foundry)

💼 What You'll Be Doing

As an AI Platform Engineer, you'll contribute to the design and evolution of a modern enterprise AI platform, enabling teams across the organization to build and adopt AI solutions securely and efficiently.

🤖 Build Enterprise AI Solutions

• Design, develop, and maintain enterprise-grade AI applications, intelligent assistants, and autonomous AI agents.
• Build scalable Generative AI solutions capable of supporting a wide range of business use cases.
• Develop Retrieval-Augmented Generation (RAG) architectures to deliver accurate, context-aware AI experiences.
• Create reusable AI services and components that accelerate AI adoption across multiple teams.

☁️ Build on Microsoft Azure

• Develop cloud-native AI solutions using the Microsoft Azure ecosystem.
• Integrate Azure OpenAI, Azure AI Services, and other cloud-native capabilities into enterprise applications.
• Design scalable, secure, and resilient AI architectures aligned with enterprise best practices.
• Contribute to the continuous evolution of the organization's AI platform and reusable AI capabilities.

🔗 AI Integration & Automation

• Integrate AI services with enterprise applications, APIs, and internal platforms.
• Build intelligent workflows and AI-powered automation solutions that improve productivity and operational efficiency.
• Collaborate with development teams to embed AI capabilities into existing products and services.
• Support API integrations and orchestration between AI models and enterprise systems.

🤝 Collaboration & Innovation

• Work closely with software engineers, architects, product teams, and business stakeholders to identify AI opportunities and deliver high-impact solutions.
• Contribute to AI platform strategy, architecture, standards, and best practices.
• Stay up to date with the latest advancements in Generative AI, Large Language Models, AI Agents, and Microsoft's AI ecosystem.
• Promote responsible, secure, and scalable AI adoption across the organization.

🛠️ What We're Looking For

Required Experience

✔️ Experience developing cloud-native applications on Microsoft Azure.

✔️ Hands-on experience with Generative AI, Large Language Models (LLMs), or AI Agents.

✔️ Experience building AI-powered applications or intelligent automation solutions.

✔️ Strong software development skills using Python, C#, or another modern programming language.

✔️ Experience integrating APIs and enterprise systems.

✔️ Strong communication skills and the ability to collaborate with multidisciplinary teams.

💻 Technical Stack

Artificial Intelligence

• Generative AI
• Large Language Models (LLMs)
• AI Agents
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Workflows
• Intelligent Automation

Microsoft AI Ecosystem

• Azure OpenAI
• Microsoft AI Foundry
• Microsoft Copilot Studio
• Azure AI Services

Development

• Python
• C#
• REST APIs
• Cloud-Native Applications

Cloud

• Microsoft Azure
• Azure Functions
• Azure App Services
• Azure Storage
• Azure Identity (where applicable)

⭐ Nice to Have

➕ Experience implementing Retrieval-Augmented Generation (RAG) architectures.

➕ Knowledge of Model Context Protocol (MCP).

➕ Experience with AI orchestration frameworks such as:

• Semantic Kernel
• LangChain
• LlamaIndex
• AutoGen (or similar)

➕ Experience with AI governance, observability, monitoring, evaluation, or responsible AI practices.

➕ Familiarity with vector databases and semantic search technologies.

➕ Experience deploying AI solutions into production environments.