Forward Deployed Engineer

20 hours, 35 minutes ago
Full-time
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

  • Partner with customers to understand their business landscape and identify high-value AI use cases.
  • Lead discovery workshops, prototyping sprints, and customer briefings to move opportunities from concept to proven pilot.
  • Build and iterate on prototypes that demonstrate value early in the engagement.
  • Define baseline KPIs and support account teams in developing business cases that prove measurable outcomes.
  • Translate AI architectures, ROI, risks, and trade-offs into actionable recommendations for technical and executive stakeholders.
  • Align engineers, business stakeholders, and C-suite leaders around a shared technical vision.
  • Advise customers on AI best practices, including prompt engineering, LLM selection, tool design, governance, and cost control.
  • Evangelize SnapLogic capabilities across data and application integration, MCP, and agentic workflow orchestration.
  • Share field learnings with Product and Engineering to influence the product roadmap and create repeatable deployment playbooks.
  • Travel to customer sites approximately 50% of the time for key in-person engagements.

Requirements

  • Experience in a customer-facing, hands-on enterprise advisory role, such as Solutions Architect, Sales Engineer, or Field CTO.
  • Track record of building working prototypes and solutions amid ambiguous or incomplete requirements.
  • Experience with enterprise data and application integration and an understanding of orchestration and agentic workflows.
  • Solid understanding of AI and LLM concepts, including prompt engineering, governance, model selection, tool/function design, and cost-to-performance trade-offs.
  • Understanding of evolving AI governance and compliance requirements for solution design and deployment.
  • Executive presence and ability to guide C-level decision-making and challenge assumptions constructively.
  • Strong communication skills across deep technical discussions and executive-level business-value conversations.
  • Ability to collaborate across Pre-Sales, Post-Sales, Product, and Engineering teams.
  • Hands-on programming experience with Python or JavaScript/Node.js for AI prototyping (preferred).
  • Familiarity with LangChain, LlamaIndex, MCP, iPaaS platforms, or AI/software deployment on AWS, GCP, or Azure (preferred).

Benefits

  • Competitive salaries.
  • Global wellness benefits.
  • Opportunities for career growth, deeper ownership, and impact as the company scales globally.

Interested in this position?

Apply directly on the company website

Apply Now

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