AI Platform Engineer

Job summary

The AI Platform Engineer at DeV*** is responsible for designing, implementing, and operating the enterprise AI platform capabilities, utilizing various Microsoft AI services.

Qualifications

• 5+ years software engineering experience
• 3+ years of hands-on experience building solutions using Azure AI services
• Experience designing and implementing RAG architectures
• Hands-on experience with Python, TypeScript/JavaScript, Git, CI/CD, Copilot Studio, Azure AI Foundry, Azure AI Search, Semantic Kernel, LangChain, and MCP

Responsibilities

• Design and implement AI solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, and Microsoft Fabric
• Build reusable AI services, agent frameworks, prompt registries, evaluation pipelines, MCP integrations, and tool catalogs
• Establish engineering standards for enterprise AI development
• Create reference architectures for agents, RAG, tool calling, multi-agent workflows, and Human-In-The-Loop workflows
• Provide technical guidance on using Copilot, Foundry, Agentforce, ChatGPT Enterprise, Claude Enterprise, and private models
• Design AI-enabled solutions leveraging OneLake, Lakehouse, Data Warehouse, Data Factory, and Power BI
• Establish reusable AI-ready data patterns and provide guidance to data engineering
• Provide guidance on monitoring, telemetry, evaluation frameworks, token tracking, cost allocation, prompt performance, and agent reliability metrics
• Support deployment, rollback, versioning, and incident response
• Implement prompt versioning using GitHub, agent approval workflows, model routing controls, tool access controls, and usage monitoring
• Automate quality control using agents in collaboration with innovation architect
• Translate business use cases into reusable technical solutions

Skills

Certifications

Relocation