Senior AI Architect - Enterprise Integrations

Role Overview

We are seeking a Senior AI Architect – Enterprise Integrations to join our growing AI practice. 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.

What You'll Do

• 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
• Arcitect 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

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