Applied AI Architect

1 month, 1 week ago
Contract
Senior
Artificial Intelligence and Machine Learning
SnapLogic

SnapLogic

SnapLogic is a leading iPaaS provider, empowering enterprises with intelligent automation for seamless application, data, and cloud integration. Trusted by top companies worldwide, SnapLogic accelerates digital transformation through its innovative Ent...

IT Services
201-500
Founded 2006
$371M raised

Description

  • Lead discovery and scoping engagements with VP- and C-level customer stakeholders.
  • Translate AI agent capabilities into business impact for CIO and CTO audiences.
  • Own end-to-end technical deployments in customer VPCs, on-premises Docker hosts, and firewalled networks.
  • Resolve deployment blockers involving SSO, enterprise OAuth, networking, and egress policies.
  • Engineer data connectivity through Model Context Protocol (MCP) and build reliable AI-agent context layers.
  • Identify adjacent use cases and business functions to expand customer adoption and demonstrate ROI.
  • Represent SnapLogic’s agentic AI positioning in customer briefings and competitive engagements.
  • Convert field learnings into repeatable go-to-market playbooks.
  • Partner with engineering to feed customer needs, edge cases, and field insights into the product roadmap.
  • Teach customer teams and document runbooks to support sustained adoption.

Requirements

  • Interest in fractional, independent, time-bounded consulting engagements.
  • Ability to rapidly execute, establish commercial business cases, and create repeatable frameworks in zero-to-one environments.
  • Strong executive presence and ability to handle live pushback from senior enterprise stakeholders.
  • Ability to create momentum and earn buy-in in ambiguous, unstructured environments.
  • Strong judgment on viable enterprise AI use cases and their technical and commercial tradeoffs.
  • 5+ years of hands-on experience with Linux, Docker, networking, major cloud platforms, and enterprise SSO/OAuth.
  • Hands-on experience building or deploying production LLM- or AI-agent-powered systems beyond prototypes.
  • Ability to work directly with customer engineering teams and senior technical stakeholders.
  • Willingness to travel regularly to customer sites, up to 50%, for discovery workshops and prototyping sprints.
  • Commitment to mentoring client teams and creating scalable adoption documentation.

Benefits

  • Competitive salary.
  • Global wellness benefits.
  • Opportunity to work on an enterprise agentic AI platform.
  • High-impact customer-facing work with significant ownership.

Interested in this position?

Apply directly on the company website

Apply Now

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