EI
AI Architect
Echo IT Solutions, Inc
Location not stated
4 weeks ago
- AI
- Azure OpenAI
- Azure AI
- Azure
- AKS
- Cosmos DB
- Azure SQL
- Snowflake
- Databricks
- RBAC
- Azure Monitor
- Devops
- Foundry
- AutoGen
- Semantic Kernel
- LangChain
- Python
- C#
- MLOps
- CI/CD
- Docker
- Kubernetes
4 weeks ago
Location - Seattle, WA ( 5 days WFO)
Duration : 6+ months
Mode of interview : 2-3 videos
- 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).
- 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.
AI Architect · Echo IT Solutions, Inc