Senior AI Architect - Enterprise Integrations

About the Role

We are seeking a Senior AI Architect – Enterprise Integrations to join our growing AI practice. As demand for intelligent, connected enterprise solutions accelerates, we are building out a specialized capability in AI-native architecture and agentic system design. This is a senior, client-facing role where you will provide thought leadership, shape practice offerings, and lead delivery on high-impact AI integration engagements. You will be the subject matter expert at the intersection of AI agents and enterprise systems — designing and building the connective tissue that makes AI solutions work in the real world.

Responsibilities

• Thought Leadership & Practice Development
  • Serve as an internal champion for AI integration architecture strategy, helping to define and grow this capability within the firm
  • Develop points of view, reference architectures, and reusable assets that accelerate client delivery
  • Mentor and upskill other architects and consultants on AI integration patterns and emerging standards
• Client Engagement & Solution Architecture
  • Lead discovery, design, and architecture sessions with clients to define AI integration strategies
  • Translate complex business requirements into scalable, secure, and maintainable AI-powered solutions
  • Provide cloud and LLM consumption cost estimates, optimizing for cost-effective architecture through fit-for-purpose model selection, efficient prompting & caching, and scalable infrastructure design
  • Present architectural recommendations to executive and technical stakeholders with clarity and confidence
  • Lead cross-functional development teams to deliver enterprise-grade, production-ready AI solutions, ensuring alignment to architecture standards, scalability, and operational excellence
• Technical Delivery
  • Architect and implement integrations between AI agents and enterprise systems including CRMs, ERPs, data platforms, and third-party APIs
  • Establish a semantic data layer that standardizes and contextualizes enterprise data, enabling AI agents to reliably discover, interpret, and interact with systems & data
  • Define patterns for agent orchestration, tool calling, memory management, and human-in-the-loop workflows
  • Design and build Model Context Protocol (MCP) gateway & servers that expose enterprise data, tools, and APIs as structured context for AI agents
  • Ensure solutions meet enterprise standards for security, observability, and reliability

This role can be performed from anywhere in the US.

Requirements

• Required Skills & Experience
  • 8+ years of experience in application or solution architecture, with at least 2+ years focused on AI/ML systems
  • Hands-on experience designing and building MCP (Model Context Protocol) servers
  • Proven experience integrating AI agents with enterprise systems and workflows
  • Deep understanding of agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or similar)
  • Strong knowledge of API design (REST, GraphQL), event-driven architecture, and enterprise integration patterns
  • Experience working with LLM providers (OpenAI, Anthropic, Azure, IBM, AWS, Google, etc.) and their APIs
  • Proficiency in Python and/or TypeScript/JavaScript for building AI integration solutions
  • Consulting or professional services experience — comfortable owning client relationships and leading engagements
• Preferred Skills
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and cloud-native deployment patterns
  • Experience with RAG (Retrieval-Augmented Generation) architectures and vector databases
  • Background in enterprise middleware or iPaaS platforms (MuleSoft, Boomi, Azure Integration Services)
  • Knowledge of AI security considerations including prompt injection, data governance, and access controls

Preferred Education: Master's Degree