AI Architect in Seattle
Posted Updated 3
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Job Description
Role: AI Architect
Location - Seattle, WA ( 5 days WFO) , Onsite, Contract
- 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).
Skills:
- 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.