🕒 2 days ago
Lead the architecture and operation of an on-premises AI and LLM platform, turning emerging technologies into secure, reliable production services and guiding AI adoption across engineering teams.
Lead AI/ML Engineer - R01572495
🕒 22 days ago
Azure AI ServicesAzure OpenaiAzure AI FoundrySemantic Kernel
📜 Description
- Design, build, and deploy AI agents and multi-agent systems using Azure AI services and agentic frameworks.
- Develop agentic workflows integrated with Microsoft 365, Teams, SharePoint, Dynamics 365, Power Platform, and enterprise APIs.
- Build enterprise RAG solutions using Azure AI Search, vector and hybrid search, and semantic ranking.
- Develop production-ready LLM applications with tool calling, memory, and workflow orchestration.
- Establish observability, guardrails, responsible AI controls, evaluation, security, and monitoring for production AI.
- Optimize AI applications for latency, accuracy, reliability, scalability, security, and cost; collaborate on prototypes and engineering best practices.
🛠️ Requirements
- Design, build, and deploy AI agents and multi-agent systems using Azure AI services, Azure OpenAI, and modern agentic frameworks such as Semantic Kernel, LangChain, LangGraph, and AutoGen.
- Develop and operationalize agentic workflows for business functions, integrating AI solutions with Microsoft 365, Teams, SharePoint, Dynamics 365, Power Platform, and enterprise APIs.
- Implement enterprise RAG solutions utilizing Azure AI Search, vector search, hybrid search, and semantic ranking to enhance knowledge retrieval and business decision-making.
- Build production-ready AI applications leveraging LLMs, RAG pipelines, tool/function calling, memory systems, and workflow orchestration for scalable, secure, and reliable enterprise deployment.
- Establish observability, guardrails, responsible AI controls, evaluation, security, and monitoring for AI applications in production environments.
- Optimize agent and LLM applications for latency, accuracy, reliability, scalability, security, and cost, applying advanced techniques and metrics.
- Collaborate with cross-functional teams to identify AI opportunities, rapidly prototype solutions, and iterate based on user feedback.
- Contribute to internal best practices around agent architecture, prompting, RAG, model selection, evaluation, and AI engineering standards.
- Hands-on experience with Azure AI services, Azure OpenAI, and Azure AI Foundry
- Expertise in agentic frameworks (Semantic Kernel, LangChain, LangGraph, AutoGen)
Full job description
Lead AI/ML Engineer
Job requirements
Experience Range: With at least 4 to 6 years of experience designing, building, and operationalizing enterprise-scale AI platforms, including hands-on expertise in agentic AI, LLMs, and Azure-based solutions. Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
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