AI Lead Consultant, AI Practice

AI Lead Consultant Greenlight helps organizations solve complex business challenges through intelligent automation, agentic AI, and custom technology solutions. Our teams work directly with clients to understand their operations, identify opportunities, and rapidly build solutions that create measurable business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and execution. We are building a future where consultants and engineers work alongside AI to deliver faster outcomes, stronger businesses, and transformative customer experiences. We use Anthropic's Claude as a core delivery tool - and this role sits at the center of how we define what gets built and why it matters. What makes a star at Greenlight? Thinks like a consultant, challenges like someone who has seen AI projects fail Embedded onsite - you live in the client's world until the solution works AI-fluent without being an engineer - you know what agents can and can't do Builds the business case before recommending the solution Iterative by instinct - you refine as you learn, not after the project closes The Role The AI Lead Consultant is the analytical and commercial intelligence layer of every Greenlight AI engagement. You are not an engineer - you are the person who ensures the engineer builds the right thing. Working in a two-in-a-box model alongside a Forward Deployed Engineer, you own the what and the why of every automation initiative: why this process, what it should do, how success is measured, and what the business must look like after the AI agent is deployed. The most common failure mode in enterprise AI is not a technology failure - it is a requirements failure. Engineers build exactly what they are asked to build, and what they are asked to build is often a precise replication of a broken process, wrapped in AI. The result: faster execution of the wrong workflow. This role is the structural safeguard against that outcome. You will travel to client sites, run discovery workshops, challenge process assumptions, design the business logic that AI agents will execute, build the business case that justifies investment, and produce the requirements that the FDE builds against without ambiguity. You are client-facing, delivery-accountable, and commercially aware. This is not a back-office BA role. At a Glance Reports To Practice Lead Works Closely With Forward Deployed Engineer, Pre-Sales SE, AI Delivery Engagement Manager Client Interaction Yes - C-suite, operations leaders, process owners, compliance stakeholders Travel Requirement Regular client travel required - discovery, workshops, executive readouts Platform Focus Anthropic Claude (Cowork + Skills), Claude.ai, AI agent frameworks Seniority Mid-to-Senior (3-5 years relevant experience) Location Onshore Canada - GTA preferred Engagement Type Hybrid - embedded onsite client delivery with remote phases The Two-in-a-Box Model Every AI Practice engagement runs with two people who together form a complete delivery unit: Role Owns How They Work Together AI Lead Consultant ★ The what and why - process discovery, requirements, business case, stakeholder management, AI logic design You define what gets built and why. The FDE builds it. Forward Deployed Engineer The how - AI agent architecture, build, MCP integration, production deployment Translates your requirements into working software. Flags what is technically feasible before you commit to a client. What You'll Do Process Discovery and Reengineering Lead structured current-state process discovery sessions with client stakeholders - walkthroughs, observation, value stream mapping - at a fidelity that captures decision logic, exception handling, system touchpoints, and handoff points Challenge the client's stated requirements with disciplined questioning: if a process step exists because 'we've always done it this way,' surface and resolve that before it becomes an automation constraint Apply Lean thinking…