AI Solution Architect

Talent Groups
Medina, WA, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure C Sharp (Programming Language) Communications Protocols Computer Programming DevOps Memory Management Python (Programming Language) SQL Azure Software Architecture Role-Based Access Control OpenAI
+21 more
Cloud Services Software Safety Enterprise Search Delivery Pipeline Large Language Models Snowflake Multi-Agent Systems Agentic-AI Containerization Kubernetes Azure OpenAI API AutoGen Cosmos DB Azure AKS Machine Learning Operations Cloud Integration Azure AI Software Coding Semantic Kernel Docker Databricks

Job description

  • Architecture Design: Build scalable, secure, and resilient multi-agent orchestration frameworks using Azure OpenAI Service, Azure AI Agent Service, and Azure Kubernetes Service (AKS), frameworks such as Langraph and MS Agent Framework.
  • Agent Coordination: Define communication protocols, memory management, and task delegation patterns between autonomous AI agents.
  • Cloud Integration: Connect AI agents to enterprise data sources via Azure Cosmos DB, Azure AI Search, and Azure SQL, Snowflake , Databricks.
  • Security & Governance: Implement AI safety guardrails, role-based access control (RBAC), and monitoring using Azure AI Content Safety and Azure Monitor.
  • Collaboration: Guide software engineers, data scientists, and DevOps teams through implementation and deployment.
  • Evaluation of AI Agents: evaluation of agents/LLMs (responses accuracy, consistency, hallucinations, etc).

Requirements

  • Experience: 8+ years in software architecture, with 3+ years focused on enterprise AI and cloud solutions.
  • Azure Expertise: Deep hands-on experience with Microsoft Azure core services, Azure OpenAI, and Azure AI Foundry.
  • Frameworks: Proficiency in multi-agent frameworks like Microsoft AutoGen, Semantic Kernel, or LangChain.
  • Coding Skills: Advanced programming skills in Python or C# for agent logic and API integration.
  • MLOps: Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and scaling LLM workloads.

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