Applied AI Architect

🕒 September 25

🇺🇸 United States – Remote

💵 $100 - $120 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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SnapLogic

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2006

☁️ SaaS

🏢 Enterprise

🔌 API

💰 $165M Series H on 2021-12

SaaS • Enterprise • API

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. With an emphasis on modernizing legacy systems through easy-to-use integration tools, SnapLogic empowers businesses to enhance productivity, efficiency, and innovation in the digital age.

📋 Description

• 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