Senior AI Architect

Position: Senior AI Architect (Agentic AI & Multi-Agent Platforms)

100% Remote

Hiring: W2 Contract

Position Summary:

We are seeking a highly experienced Senior AI Architect to lead the design and implementation of an enterprise-scale Agentic AI platform that enables autonomous and semi-autonomous AI agents across business functions. The ideal candidate will architect and deliver a scalable multi-agent ecosystem leveraging Microsoft Azure, Azure OpenAI, Copilot Studio, Power Platform, RAG architectures, SAP integrations, MCP (Model Context Protocol), and enterprise knowledge platforms.

Key Responsibilities:

• Define enterprise architecture for multi-agent AI systems and agent orchestration frameworks.
• Design AI agent ecosystems capable of autonomous reasoning, planning, tool usage, and workflow execution.
• Establish standards for agent lifecycle management, memory, prompts, governance, and observability.
• Architect Planner, Orchestrator, Domain, Tool, Knowledge, and Validation Agents.
• Design enterprise RAG platforms and knowledge ingestion frameworks.
• Integrate SAP ECC/S4HANA, SAP APIs, SAP BTP, Peoplesoft and on-prem systems.
• Lead Azure OpenAI, Copilot Studio, Power Platform, Dataverse, and Azure integration architecture.
• Design MCP-based tool, resource, and prompt exposure frameworks.
• Implement AI governance, security, compliance, monitoring, and guardrails.

Required Qualifications:

• 12+ years of software, cloud, integration, or enterprise architecture experience.
• 5+ years designing AI/ML solutions.
• 2+ years working with Generative AI and Agentic AI platforms.
• Strong expertise in Azure OpenAI, Copilot Studio, Power Platform, Azure Functions, API Management, and Container Platforms.
• Experience with SAP integrations, REST APIs, Event-Driven Architecture, and Service BKafka.
• Proficiency in Python, C#, and JavaScript/TypeScript.

Success Criteria (First 6 12 Months)

• Establish enterprise Agentic AI reference architecture.
• Deliver a scalable multi-agent framework.
• Implement MCP-enabled enterprise tool ecosystem.
• Build enterprise RAG platform integrated with SAP, Peoplesoft and internal business systems.
• Define governance, security, and observability standards.
• Create reusable AI accelerators and implementation playbooks.

Preferred Qualifications:

• Experience implementing MCP (Model Context Protocol).
• Experience with LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.
• Experience building AI copilots and autonomous workflow agents.
• Experience with Microsoft Cloud and enterprise data platforms.
• Azure AI certifications (AI-102, Azure Solutions Architect) preferred.