Azure AI Architect

Seattle, WA, US • Posted 6 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Access Control
  • Artificial Intelligence
  • DevOps
  • Kubernetes
  • Machine Learning Operations (ML Ops)
  • Azure OpenAI Service
  • Azure AI Agent Service
  • Azure OpenAI
  • LangChain
  • Docker
  • Python
  • Azure SQL
  • Snowflake
  • Databricks

Summary

·                  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.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10354711
  • Position Id: 9098555
  • Posted 6 hours ago
Contact the job poster
Praveen Palavalasa

Praveen Palavalasa

Lead Talent Acquisition @ SRI Tech Solutions
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