AI Engineer (SeniorLead)

We are looking for a Senior/Lead AI Engineer to design build and operationalize production-grade AI agents multi-agent workflows and AI/ML solutions using Python Azure AI Foundry Semantic Kernel / Microsoft Agent Framework LangGraph LangChain AutoGen and Strands SDK. You will work alongside architects and data teams to take solutions from prototype to scalable reliable production.

• Design build and maintain production-grade AI agents and multi-agent workflows for enterprise use cases
• Integrate and operationalize AI/ML models and agent workflows into scalable production systems
• Implement orchestration using Semantic Kernel / Microsoft Agent Framework LangGraph LangChain AutoGen and/or Strands SDK
• Implement RAG grounding and prompt optimization to improve response quality and reduce hallucinations
• Integrate agents with internal and external systems via APIs and connectors
• Design and implement error handling fallback flows and escalation paths
• Perform testing and evaluation of agents and automation workflows
• Collaborate with architects and data teams to translate requirements into deployable AI solutions
• Support deployment CI/CD and release management (Azure DevOps)
• Monitor and continuously improve agent performance reliability and cost efficiency

• 5 years of experience in strong Python development for AI/agent solutions with solid general scripting ability
• Hands-on experience building agents and multi-agent workflows with one or more orchestration frameworks: Semantic Kernel / Microsoft Agent Framework LangGraph LangChain AutoGen Strands SDK
• Expertise in Azure AI Foundry for building deploying and operating agents at scale (hosted agents agent service memory evaluation)
• Understanding of LLM concepts: prompt engineering RAG grounding tool/function calling hallucination mitigation and evaluation
• Skills in API integration (REST APIs JSON authentication via OAuth2 / API keys)
• Experience designing agent behavior: state and memory management tool use error handling fallback and escalation paths
• Comfort collaborating with architects and data engineering teams to deliver scalable production-grade solutions
• English proficiency at B2 level or higher

• Experience with Azure AI Services and the broader Azure stack (Blob Storage Container Services)
• Multi-cloud agent deployment experience (e.g. AWS Bedrock via Strands SDK)
• Familiarity with Model Context Protocol (MCP) for tool/connector integration
• Expertise in LLMOps / MLOps: monitoring evals and cost/latency optimization for AI Agents
• Experience with vector databases retrieval infrastructure for RAG Docker and Microsoft Graph API integration as well as delivering in enterprise or regulated/validated environments (e.g. GxP) including governance and observability tooling