Applied AI Architect

About SnapLogic SnapLogic powers the agentic enterprise. The company's Agentic Integration and Applied AI Platform serves as the AI operational layer for the enterprise, securely connecting applications, data, APIs and AI agents across cloud, on-premise and hybrid environments. With trusted orchestration, governance and enterprise-grade control, SnapLogic helps organizations accelerate business value and scale AI with confidence. Unlike legacy tools, SnapLogic is built for the AI era and trusted by global enterprises, including AstraZeneca, Adobe, Verizon, and Sony, to modernize operations and power the next generation of enterprise AI. Join the Agentic Integration movement at snaplogic.com. The Engagement: SnapLogic is building the agentic layer that enterprises actually deploy. Jean-Paul , our enterprise AI agent platform, is live inside Slack, Teams, and email at some of the most demanding IT organizations in the world. We are seeking a high-agency, entrepreneurial Applied AI Architect for a time-bounded fractional contract engagement. Your mandate is to take this new product to market, prove its value in high-stakes production environments, and build the business case for our next phase of scale and investment. You will sit at the tip of the spear - working the room with executive buyers, the terminal with customer engineering teams, and the stage in front of the market as this category is defined in real-time. Approaching the role with a hunter mindset in ambiguity, you will step into unstructured, high-stakes environments and leave with scalable architectures that customer leadership champions. This is a hands-on, high-impact contract role. Regular travel to customer sites (up to 50%) is expected for initial discovery workshops and prototyping sprints where being in the room accelerates trust and progress. What You'll Do: Lead Executive Engagements: Command the room during discovery and scoping with VP and C-level stakeholders, translating technical capabilities into sharp business impact for CIO/CTO audiences. Deploy into Complex Environments: Own the end-to-end technical rollout into customer VPCs, on-prem Docker hosts, and firewalled networks. Resolve the critical blockers (SSO, enterprise OAuth, egress policies) that typically derail pilots. Build the Context Layer: Move beyond surface-level demos by engineering data connectivity (via Model Context Protocol / MCP) and context layers, ensuring the AI agent is genuinely usable, reliable, and trustworthy. Drive Footprint Expansion: Identify adjacent business functions and high-value use cases, turning initial team beachheads into account expansion and undeniable ROI. Shape the GTM Narrative: Represent SnapLogic’s agentic AI point of view in briefings and competitive situations, codifying field wins into repeatable playbooks for the GTM team. Feed the Product Loop: Partner directly with our core engineering team building on the Claude Agent SDK—bringing field realities, edge cases, and customer needs straight back into the product roadmap. What We’re Looking For: Fractional & Independent Consulting Appetite: You excel in zero-to-one, time-bounded engagements where success is measured by rapid execution, proving a commercial business case, and leaving behind repeatable frameworks. Executive Commercial Presence: Exceptional poise, clarity, and the ability to confidently navigate live pushback from senior enterprise executives. Hunter Instinct in Ambiguity: You create momentum without a preset playbook, comfortable taking small, calculated bets to earn buy-in from scratch. Enterprise AI Judgment: You easily distinguish valuable business use cases from "AI theater," bringing deep understanding of both technical realities and commercial tradeoffs. Deep Technical Range: 5+ years of hands-on experience across Linux, Docker, networking, major clouds, and enterprise SSO/OAuth—with enough depth to earn immediate credibility with a customer's senior engineers. Production-Minded LLM Experience: Hands-on experience building or deploying production systems powered by LLMs or AI agents beyond weekend prototypes. Mentorship Instinct: A drive to teach client teams, empower internal champions, and document scalable runbooks so adoption continues long after your engagement ends.