AI Solution Architect

GCS Recruitment; United States; Remote; USD 180,000 - 230,000; Full time

Job summary

GCS Recruitment is seeking a senior AI/ML lead to design, develop, and deploy AI orchestration solutions for Generative AI applications in the United States. The role combines hands-on engineering with technical leadership in a fast‑growing environment.

You will build AI workflows integrating Snowflake, ML models, LLMs and unstructured data (RAG), develop agentic AI solutions using LangChain, LangGraph, Semantic Kernel, or AutoGen, and implement Responsible AI, guardrails, monitoring, and

Qualifications

• 8+ years in software, AI, or ML.
• 2+ years in a technical lead or engineering lead role.
• Strong experience with Azure OpenAI, Azure ML, and Azure services.
• Proficient in Python and API/microservices development.
• Deep knowledge of MLOps/LLMOps and AI governance.

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 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.

Skills

Azure OpenAI

Azure ML

Azure Functions

AKS

Generative AI

LLMs

AI Orchestration

RAG

LangChain

LangGraph

Semantic Kernel

AutoGen

Snowflake

Semantic Views

Cortex Analyst

Python

API Development

Microservices

MLOps

LLMOps

AI Governance

Stakeholder Mgmt

Job description

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.