AI Architect in Seattle

Energy Jobline ZR; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

Energy Jobline ZR is seeking an AI Architect for a Seattle onsite contract. You will design scalable, secure multi-agent orchestration using Azure OpenAI and AKS, coordinating cross-functional teams to deliver enterprise AI solutions.

The role requires 8+ years in software architecture and 3+ years in enterprise AI, with deep Azure expertise and experience with LangChain, Semantic Kernel, and related frameworks. Onsite work 5 days a week in Seattle.

Qualifications

• 8+ years in software architecture.
• 3+ years focused on enterprise AI and cloud solutions.
• Deep hands-on experience with Microsoft Azure core services, Azure OpenAI, and Azure AI Foundry.

Responsibilities

• Architecture Design: Build scalable, secure, and resilient multi-agent orchestration frameworks using Azure OpenAI Service, Azure AI Agent Service, and AKS.
• 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, RBAC, and monitoring using Azure AI Content Safety and Azure Monitor.
• Collaboration: Guide software engineers, data scientists, and DevOps teams through implementation.
• Evaluation of AI Agents: evaluation of agents/LLMs (responses accuracy, consistency, hallucinations, etc).

Skills

Software architecture

Enterprise AI

Azure core services

Azure OpenAI

AI frameworks

Python

C#

MLOps

Docker

Kubernetes

LangChain

Semantic Kernel

Langraph

Tools

Azure Cosmos DB

Azure AI Search

Azure SQL

Snowflake

Databricks

Docker

Kubernetes

Azure Monitor

Microsoft AutoGen

Semantic Kernel

LangChain

Langraph

Job description

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.