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Fractional

Applied AI Architect

SnapLogic · US · Remote
Pay
$100–$120 / hr
Length
time-bounded fractional / project-based engagement
About the role

SnapLogic seeks a high-agency Applied AI Architect for a time-bounded fractional contract engagement to take its Jean-Paul enterprise AI agent platform to market. The role involves working with executive buyers and customer engineering teams across Slack, Teams, and email deployments at demanding IT organizations. You will lead discovery with VP and C-level stakeholders, deploy into complex customer environments, build context layers via Model Context Protocol, drive footprint expansion, shape go-to-market narratives, and partner with core engineering on the Claude Agent SDK. Regular travel to customer sites (up to 50%) is expected for discovery workshops and prototyping sprints.

What you'll do
  • •Lead Executive Engagements with VP and C-level stakeholders, translating technical capabilities into business impact for CIO/CTO audiences
  • •Deploy into Complex Environments and own end-to-end technical rollout into customer VPCs, on-prem Docker hosts, and firewalled networks
  • •Build the Context Layer by engineering data connectivity via Model Context Protocol and context layers to ensure AI agent usability and reliability
  • •Drive Footprint Expansion by identifying adjacent business functions and high-value use cases for account expansion
  • •Shape the GTM Narrative by representing SnapLogic's agentic AI point of view and codifying field wins into repeatable playbooks
  • •Feed the Product Loop by partnering with core engineering team and bringing field realities and customer needs to the product roadmap
What they're looking for
  • •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 weekend prototypes
  • •Exceptional poise and ability to navigate live pushback from senior enterprise executives
  • •Ability to create momentum in ambiguity without a preset playbook
  • •Deep understanding of both technical realities and commercial tradeoffs in enterprise AI
  • •Drive to teach client teams, empower internal champions, and document scalable runbooks
Skills
Enterprise AI and LLM DeploymentLinux and DockerCloud PlatformsEnterprise SSO/OAuthModel Context ProtocolClaude Agent SDKExecutive CommunicationCustomer Engineering

Found on jobs.lever.co. Link checked Nov 9. Marquee links to the company's own application. We are not the employer.