Employment Type: Full-Time Work

Location:
Remote. Travel Requirement: Occasional travel for all-team meetings and client workshops AI Technical Lead The AI Technical Lead is a seasoned AI practitioner and trusted client consultant who serves as the senior technical voice of VeilSun’s AI Practice. Before a model is selected or an integration is built, the Technical Lead has done the harder and more important work. They have learned the client’s business, their data, and their goals, and achieved Radical Alignment on what AI should accomplish and why. This role combines hands‑on AI engineering depth with the consultative presence to guide enterprise AI roadmaps and AI service package engagements. Their expertise goes well beyond third‑party AI tools. It includes models, APIs, MCP servers, and the work of connecting AI securely to client data and schemas. The AI Technical Lead also carries an internal mandate. They redesign how VeilSun delivers, prove on real projects that AI can compress weeks of technical work into days, and build AI capability across the delivery organization. AI makes it intelligent. Success in this role means AI engagements deliver measurable client value, VeilSun delivers faster with leaner teams, and AI capability is spreading across the delivery organization. Engagement quality. AI roadmaps and service package engagements are technically sound, right‑sized, and tied to client business outcomes. Risks around data, security, and model behavior are surfaced early and worked through together. Complex work such as data mapping and code generation moves from weeks or months to days. Delivery team members, including PMs and leadership, show measurable growth in AI skills and day‑to‑day adoption. AI expertise is held by multiple team members, not one person. Commercial discipline.



Meets the billable utilization target agreed with AI Practice leadership. Enterprise AI Roadmapping & Client Consulting Serve as the technical expert on enterprise AI roadmap and AI service package engagements, partnering with the AI Services Lead and the project lead. Learn the client’s business, data landscape, and systems before recommending an AI approach. Achieve Radical Alignment on AI use cases, success measures, and boundaries before any build begins. Translate AI possibilities into practical, phased roadmaps that deliver value in small, high‑value increments. Advise clients candidly on what AI can and cannot do today. Redirect them away from poorly fit use cases, unsafe data practices, or oversized investments. Partner with the Solution Engineer during the handoff from sales so technical design and estimates carry into delivery intact. AI Engineering & Architecture Design and build AI solutions that go beyond off‑the‑shelf tools, including model selection, API integration, prompt and agent design, and MCP server development. Connect AI to client data and schemas securely, with attention to data quality, access controls, and governance. Integrate AI capabilities with the Quickbase, Mendix, and custom web applications delivered by VeilSun’s other practices. Serve as the primary technical authority on assigned AI engagements. Establish and document AI development standards, reusable patterns,



and evaluation practices for the practice. Validate AI output quality through testing and evaluation. Keep a human in the loop where the risk calls for it. Redesign VeilSun’s delivery methods so engagements of $400K to $500K can be run by a project lead and one developer, with QA added when needed. Identify where AI can compress effort across the delivery lifecycle, including requirements, data mapping, code generation, testing, and documentation. Prove new approaches on real client projects. Partner with the PMO and Delivery Team Managers to update estimating, staffing, and quality practices to fit the current model. AI-Accelerated Development Show the team, on live engagements, how AI cuts complex technical work like data mapping and code generation from weeks or months to days. Protect quality while moving faster. AI‑generated work is reviewed, tested, and maintainable before it reaches a client. Help build and accelerate VeilSun’s internal MCP integration between Claude and Quickbase. Learn and build VeilSun’s depth on RapidMiner AI Studio and AI Graph with existing team members so the expertise does not sit with one person. Apply AI to keep VeilSun’s Quickbase practice competitive and growing through new offerings, faster delivery, and stronger client outcomes. Lead workshops, coaching, and hands‑on sessions that build AI skills across delivery, including Developers, PMs, and leadership. Drive the change toward AI‑first thinking about what is technically possible and how long it should take. Mentor Developers through pairing, reviews, and direct coaching on AI‑assisted development. Risk Identification & Commercial Discipline Scan engagements continuously for technical, data, security, scope, and client relationshi

📌 AI Technical Lead (Quinte West)
🏢 VeilSun
📍 Quinte West