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SnapLogic

Applied AI Architect

SnapLogic

. Lead discovery and scoping engagements with VP and C-level stakeholders, translating technical capabilities into business impact .

Posted 9/25/2026contractRemote • United StatesMid-LevelSenior💰 $100 - $120 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technical rollouts and engaging with C-level stakeholders to translate technical capabilities into business impact. Proficient in building and deploying production systems powered by AI, with a strong focus on enterprise SSO/OAuth and data connectivity.

Highest-signal resume keywords
Technical RolloutsEnterprise SSO/OAuthProduction Systems DeploymentAI Use CasesCustomer Engagement

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
LinuxDockerNetworkingModel Context Protocol (MCP)LLMsAI AgentsData ConnectivityTechnical ScopingGo-To-Market PlaybooksEgress-Policy Resolution
Soft Skills
Executive Commercial PresenceHunter MindsetNavigating PushbackTeachingEmpowering Internal Champions
Tools & Technologies
Claude Agent SDKOn-Prem Docker HostsFirewalled NetworksCustomer VPCs
Industry Keywords
Enterprise AIZero-To-One EngagementsAmbiguous EnvironmentsHigh-Value Use CasesField Wins

Tech Stack

Tools & technologies
DockerLinux

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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