AI Architect

AI Architect

Location:

Seattle, WA (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 Dev Ops 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 Auto Gen, Semantic Kernel, or Lang Chain.

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.