Applied AI Architect

About the Role

SnapLogic is 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 the next phase of scale and investment.

Responsibilities

• 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 critical blockers (SSO, enterprise OAuth, egress policies) that typically derail pilots.
• Build the Context Layer: Engineer 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 the core engineering team building on the Claude Agent SDK,bringing field realities, edge cases, and customer needs straight back into the product roadmap.

Requirements

• Fractional & Independent Consulting Appetite: 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: Create momentum without a preset playbook, comfortable taking small, calculated bets to earn buy-in from scratch.
• Enterprise AI Judgment: 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.

Benefits

• Competitive salaries
• Global wellness benefits
• Opportunities for career growth and acceleration