Enterprise/Principal Agentic AI Architect

We are seeking a highly experienced Enterprise/Principal Agentic AI Architect for a contract position in Stamford, CT, to lead enterprise-wide Agentic AI strategy, architecture, and transformation initiatives., Enterprise AI Strategy & Governance

• Define enterprise Agentic AI vision, strategy, and technology roadmap.
• Identify high-value AI automation opportunities aligned with business objectives.
• Establish AI governance frameworks and operating models.
• Drive enterprise AI transformation initiatives.
• Collaborate with executives, product owners, and business stakeholders.

Agentic AI Architecture & Development

• Design autonomous AI agents and multi-agent architectures.
• Architect enterprise AI copilots and intelligent assistants.
• Implement RAG, agent memory, planning, reasoning, and orchestration frameworks.
• Develop AI solutions using LangGraph, CrewAI, Semantic Kernel, and LLM platforms.
• Integrate AI agents with enterprise applications, APIs, and business workflows.
• Ensure AI solution scalability, reliability, security, and performance.

Technical Leadership

• Lead enterprise AI architecture reviews and technical design discussions.
• Mentor AI engineers and solution architects.
• Establish AI architecture standards, security controls, and best practices.
• Evaluate emerging AI technologies and frameworks.
• Collaborate with engineering, DevOps, security, and business teams.

The ideal candidate will have 15+ years of IT experience, with strong expertise in Generative AI, Large Language Models (LLMs), autonomous AI agents, multi-agent orchestration, RAG architectures, and enterprise AI governance.

This role requires strategic leadership, hands-on AI architecture experience, and the ability to collaborate with executive leadership and cross-functional teams., * AI & Agents: Agentic AI, Generative AI, OpenAI GPT, Claude, Gemini, LangGraph, CrewAI, Semantic Kernel, Multi-Agent Systems.

• RAG & Knowledge Layer: RAG, Azure AI Search, Pinecone, ChromaDB, Weaviate, Neo4j, Knowledge Graphs, Vector Databases.
• Cloud Platforms: Azure OpenAI, AWS Bedrock, Google Vertex AI.
• Infrastructure: Kubernetes, Docker.
• Enterprise Integration: Jira, Azure DevOps, GitHub, SharePoint, REST APIs.
• Architecture & Governance: Enterprise AI Strategy, AI Governance, AI Security, Agent Orchestration, AI Architecture.

Required Qualifications

• Minimum 15+ years of IT experience, including enterprise architecture and technical leadership.
• Strong hands-on experience designing Agentic AI and multi-agent architectures.
• Proven experience implementing Generative AI, LLMs, RAG, and AI copilots.
• Strong knowledge of LangGraph, CrewAI, or Semantic Kernel.
• Experience with vector databases, embeddings, semantic search, and knowledge graphs.
• Experience designing secure, scalable, production-ready enterprise AI solutions.
• Excellent communication, leadership, and stakeholder management skills.
• Ability to work effectively with executive leadership and technical teams.

Preferred Qualifications

• Enterprise AI transformation and roadmap development experience.
• Production implementation of multi-agent AI solutions.
• Knowledge of GraphRAG and advanced retrieval architectures.
• Experience with AI governance, responsible AI, and enterprise security standards.
• Strong multicloud architecture experience.