# Forward Deployed Engineer

**Company**: SnapLogic
**Location**: United Kingdom
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-Time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/snaplogic/d2dc0f40-09c1-4321-8b9c-137ffbe04eef?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9a6d2a65-694

## Description

As a Forward Deployed Engineer at SnapLogic, you will be a trusted technical advisor to customers on their AI journey.

Working alongside the Director, AI Center of Excellence, you will bring a value-first mindset and genuine comfort operating in the ambiguity inherent to most enterprises.

This role centers on helping customers understand where SnapLogic fits to deliver real business outcomes , and proving it.

You will build a deep understanding of a customer's landscape to uncover pilot use cases that demonstrate measurable value against clear KPIs, while identifying expansion opportunities that grow the footprint over time.

Partnering closely with Enterprise Account teams , spanning both Pre-Sales and Post-Sales , to guide customers from an ambiguous idea of what's possible, through a proven pilot, to sustained adoption.

Because AI capability sits on a spectrum, you will clearly present the benefits and trade-offs of various approaches, operating as a peer to senior leaders and executives to ensure they make confident, well-informed strategic decisions.

## Key Responsibilities:

- Identify Opportunities: Partner with customers to build a deep understanding of how their business operates and uncover high-value AI use case opportunities.

- Build Momentum: Demonstrate progress early and often through iterative prototyping, showing value well before a solution is finalized.

- Drive Execution Consensus: Lead high-stakes briefings, effectively translating complex AI concepts into strategic business imperatives, ROI, and risk mitigation.

- Prove Value: Support the account team in building compelling business cases and eliciting the baseline KPIs needed to prove success.

- Translate Complexity: Navigate complex enterprise matrices to align diverse stakeholders around a shared technical vision.

- Uncover Friction: Bring genuine curiosity to every engagement, asking questions that reveal operational inefficiencies others miss.

- Apply Best Practices: Bring industry AI judgment into customer conversations, including prompt engineering, LLM selection, tool design, and cost control.

- Shape the Product: Feed learnings from the field back to internal teams to shape SnapLogic's product roadmap.

- Create Playbooks: Recognize recurring deployment patterns and share them with the wider team to make successful approaches repeatable.

- Stay Cutting-Edge: Maintain deep, current knowledge of the latest developments in AI.

- Evangelize SnapLogic: Help customers understand SnapLogic's capabilities , including data, application integration, MCP, and agentic workflow orchestration , and where each drives value.

## Requirements:

- Experience in a customer-facing, hands-on advisory role (e.g., Solutions Architect, Sales Engineer, Field CTO).

- Exceptional executive presence, with the gravitas to tactfully challenge assumptions and guide C-level decision-making.

- A track record of building working prototypes and solutions under ambiguity.

- Experience with enterprise data and application integration, and an interest in how orchestration and agentic workflows fit into that landscape.

- Solid understanding of AI/LLM concepts, including prompt engineering, governance, model selection, tool/function design, and cost to performance trade-offs.

- Strong communication skills, with the ability to move fluidly between deep technical discussions and executive-level business-value conversations.

- A collaborative mindset with a proven ability to coordinate across Pre-Sales, Post-Sales, Product, and Engineering to deliver outcomes.

- Curiosity and empathy for how businesses operate and the people navigating change inside them.

## Preferred Qualifications:

- Hands-on programming experience (e.g., Python, JavaScript/Node.js) for rapidly building and iterating on AI prototypes.

- Familiarity with agentic frameworks (e.g., LangChain, LlamaIndex) or the Model Context Protocol (MCP).

- Prior experience with enterprise integration platforms (iPaaS).

- Experience deploying AI or software solutions on major cloud platforms (AWS, GCP, Azure).

## Benefits:

At SnapLogic, we're committed to your success and well-being, offering competitive salaries, global wellness benefits, and opportunities for growth.

## Skills

### Required
- AI/LLM concepts
- enterprise data and application integration
- orchestration and agentic workflows
- prompt engineering
- governance
- model selection
- tool/function design
- cost to performance trade-offs

### Nice to have
- hands-on programming experience (Python, JavaScript/Node.js)
- agentic frameworks (LangChain, LlamaIndex)
- Model Context Protocol (MCP)
- enterprise integration platforms (iPaaS)
- cloud platforms (AWS, GCP, Azure)

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