AI Platform Engineer (Microsoft Foundry)
Summary
Build and maintain an enterprise AI platform on Microsoft Azure, integrating Azure OpenAI and RAG to deliver scalable generative AI solutions and intelligent automation for internal teams.
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.