Applied AI Architect
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Job Description
Applied AI Architect taking SnapLogic’s agentic integration platform to market. Deploying AI agents, proving production value, and expanding enterprise customer use cases.
Responsibilities:
- Lead discovery and scoping engagements with VP and C-level stakeholders, translating technical capabilities into business impact
- Own technical rollouts into customer VPCs, on-prem Docker hosts, and firewalled networks
- Resolve SSO, enterprise OAuth, and egress-policy blockers during pilots
- Engineer data connectivity using Model Context Protocol (MCP) and build reliable, trustworthy context layers
- Identify adjacent business functions and high-value use cases to expand customer footprints
- Represent SnapLogic’s agentic AI perspective in briefings and competitive situations
- Codify field wins into repeatable go-to-market playbooks
- Partner with core engineering teams building on the Claude Agent SDK
- Bring field realities, edge cases, and customer needs into the product roadmap
- Travel regularly to customer sites, up to 50%, for discovery workshops and prototyping sprints
Requirements:
- Fractional and independent consulting appetite for zero-to-one, time-bounded engagements
- Exceptional executive commercial presence and ability to navigate pushback from senior enterprise executives
- Hunter mindset and comfort creating momentum in ambiguous environments
- Deep understanding of valuable enterprise AI use cases, technical realities, and commercial tradeoffs
- 5+ years of hands-on experience across Linux, Docker, networking, major clouds, and enterprise SSO/OAuth
- Hands-on experience building or deploying production systems powered by LLMs or AI agents beyond prototypes
- Drive to teach client teams, empower internal champions, and document scalable runbooks
Benefits:
- Competitive salaries
- Global wellness benefits
- Flexible scheduling built around key client deployment milestones and on-site workshops
- Potential to extend the contract or convert to a full-time role if the business case is proven
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