Key Responsibilities
- Design, develop, and deploy AI orchestration solutions for Generative AI applications.
- Build AI workflows integrating Snowflake, ML models, LLMs, and unstructured data (RAG).
- Develop agentic AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen.
- Implement AI best practices including Responsible AI, guardrails, monitoring, and governance.
- Collaborate with cross-functional teams to deliver scalable AI solutions on Azure.
- Provide technical leadership, mentorship, and architectural guidance.
Must-Have Skills
- 8+ years of Software Engineering, AI, or Machine Learning experience.
- 2+ years in a Technical Lead or Engineering Lead role.
- Strong experience with Azure OpenAI, Azure ML, Azure Functions, AKS, and Azure services.
- Experience with Generative AI, LLMs, AI Orchestration, Agentic AI, and RAG.
- Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar frameworks.
- Experience with Snowflake, including Semantic Views and Cortex Analyst.
- Strong Python programming skills with API and Microservices development
- Solid understanding of MLOps/LLMOps, AI governance, and production AI deployments.
- Excellent communication and stakeholder management skills.
GCS is acting as an Employment Business in relation to this vacancy.
GenAI Architect
United States of America
Contract
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