Sr AI Architect

Position Summary

The Principal Azure Agentic AI Engineer is responsible for architecting and deploying agentic AI solutions using Microsofts Azure ecosystem, including Azure AI Foundry,

Semantic Kernel, and the Azure OpenAI Service. This role builds intelligent, context-aware agents that integrate across enterprise systems, enabling reasoning, orchestration, and automation at scale. The ideal candidate combines deep technical expertise in Azure AI infrastructure with a strong understanding of multi-agent orchestration, contextual

retrieval, and Copilot-style integrations for enterprise productivity and decision support.

Key Responsibilities

Architect multi-agent AI systems leveraging Azure OpenAI, Semantic Kernel, and vector- based memory orchestration.

Design intelligent agent frameworks capable of reasoning, planning, and tool execution across enterprise workflows.

Define and implement task graphs, context management strategies, and chain-of- thought persistence for agent

Configure and optimize Azure AI Foundry environments for scalable model deployment, experimentation, and

Integrate LLMs with Azure Cognitive Search, Data Lake, and vector retrieval layers to support context-grounded

Build connectors between agentic services and enterprise systems such as Dynamics, Power Platform, and

Develop custom skills and functions within Semantic Kernel to extend LLM capabilities with deterministic logic and API

• Manage orchestration pipelines for hybrid reasoning and cross-agent task

• Implement context chaining and skill composition for reusable, modular agent

Integrate agentic systems into Microsoft 365 and enterprise workflows through Copilot extensions, Graph Connectors, and

Collaborate with UX teams to design AI-assisted workflows and conversational interfaces.

Ensure seamless handoff between human users and agentic systems for review, validation, and

Apply Azure AI safety, compliance, and access management standards including RBAC, Managed Identity, and Conditional

Monitor agentic system performance, telemetry, and cost optimization across distributed

Implement auditing, observability, and responsible AI guardrails aligned with enterprise governance

Preferred

• Experience building Copilot extensions or plugins for Microsoft 365 or Dynamics

• Familiarity with LangChain, AutoGen, or other agentic orchestration

• Knowledge of MLOps, CI/CD, and Azure DevOps pipelines for AI

Background in knowledge management systems, RAG architectures, or enterprise

• Microsoft Certified: Azure Solutions Architect Expert or Azure AI Engineer

Core Competencies

• Deep expertise in Azure’s AI and agentic services

• Strong architectural and system design skills for large-scale AI

• Ability to bridge LLM reasoning with enterprise tools and

• Commitment to responsible AI, data governance, and secure model

• Proven ability to translate business processes into intelligent, autonomous