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Salary
$200k – $240k per year
Location
Remote (United States)
Seniority
Architect · 5+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
SnapLogic is a leading provider of data and application integration solutions, offering a self-service platform to streamline the integration of various enterprise applications, data sources, and APIs. The company's technology includes pre-built integrations known as Snaps, which enable users to create automated workflows without extensive coding. SnapLogic focuses on facilitating enterprise automation, API management, and data synchronization across cloud and on-premise environments.

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.
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