IT & Software

Forward Deployed Engineer

SnapLogic

Remote · Nationwide · United Kingdom

Overview

As a Forward Deployed Engineer, you will be a trusted AI advisor to enterprise customers, translating complex AI concepts into business value. You’ll work with the AI Center of Excellence to identify high-value use cases, prototype rapidly, and guide customers from idea to adoption. Your role blends hands-on technical work with executive-facing storytelling to unlock measurable outcomes and expand SnapLogic’s footprint. This is a customer-facing, impact-driven position that thrives in ambiguity and cross-functional collaboration.

Pay / Benefits
  • competitive salaries
  • global wellness benefits
Responsibilities
  • Identify high-value AI use case opportunities by understanding the customer’s business landscape
  • Demonstrate iterative progress through rapid prototyping to show early value
  • Lead executive-level briefings, translating AI concepts into business rationale, ROI, and risk considerations
  • Support the account team in building compelling business cases and defining baseline KPIs
  • Navigate enterprise stakeholder matrices to align engineers, managers, and C-suite around a shared vision
  • Ask probing questions to reveal operational inefficiencies and friction
  • Apply best practices in prompt engineering, LLM selection, tool design, and cost control
  • Feed field learnings back to product teams to influence the roadmap
  • Create playbooks and reusable deployment patterns for repeatable success
  • Maintain up-to-date knowledge of AI developments and clearly articulate capabilities to customers
  • Evangelize SnapLogic capabilities including data, integration, MCP, and agentic workflow orchestration
Key requirements
  • Experience in a customer-facing advisory role with enterprise customers
  • Executive presence and ability to challenge assumptions with C-level stakeholders
  • Proven track record of building working prototypes under ambiguity
  • Experience with enterprise data and application integration
  • Solid understanding of AI/LLM concepts, governance, model selection, and cost-to-performance trade-offs
  • Awareness of AI governance and compliance considerations in deployment
  • Strong communication skills for both technical and business discussions
  • Collaborative mindset to coordinate across Pre-Sales, Post-Sales, Product, and Engineering
  • Curiosity and empathy for how businesses operate
  • Curiosity
  • Empathy
  • Executive presence
  • Python
  • JavaScript/Node.js
  • LangChain

Reference: WJ-747_31198212

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