Forward Deployed Engineer

SnapLogic Inc.; Greater London; Presencial; GBP 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical/Dental/Vision insurance

Stock options

401(k) plan

FSA/Dependent Care

Wellness & commuter programs

Dog-friendly environment

Resumo da oferta

SnapLogic seeks a Forward Deployed Engineer in Greater London to act as a trusted AI technical advisor for customer journeys, guiding pilots from concept to measurable ROI.

You will translate advanced AI concepts into business value, lead prototypes, and collaborate with Pre‑/Post‑Sales to drive adoption while shaping product roadmaps with field learnings.

Qualificações

• 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.
• Genuine excitement for the current shift in AI and hands-on in shaping how enterprises adapt.
• Exceptional executive presence, with gravitas to challenge assumptions, guide C-level decision-making, and command a room.
• Experience in a customer-facing advisory role e.g., Solutions Architect, Sales Engineer, Field CTO, or similar.
• A collaborative mindset with a proven ability to coordinate across Pre‑Sales, Post‑Sales, Product, and Engineering.
• Understanding of AI governance/compliance evolution and implications for deployment.
• Track record of building working prototypes and solutions under ambiguity.
• Experience with enterprise data integration and orchestration, and how agentic workflows fit.
• Curiosity and empathy for how businesses operate and people navigate change.
• Familiarity with agentic frameworks or MCP.
• Hands-on programming experience in Python/JavaScript for rapid prototyping.
• Experience deploying AI/ software solutions on AWS/GCP/Azure.

Responsabilidades

• Identify high-value AI use case opportunities with customers.
• Build momentum through iterative prototyping to show measurable value.
• Drive execution consensus by translating AI concepts into ROI and risk considerations.
• Prove value by helping build business cases and baseline KPIs.
• Translate complexity for diverse stakeholders from engineers to C‑suite executives.
• Uncover friction and surface operational inefficiencies to be addressed.
• Apply best practices in prompt engineering, tool design, and cost control.
• Shape the product roadmap based on field learnings.
• Create repeatable deployment patterns and playbooks.
• Stay cutting-edge with latest AI developments.
• Evangelize SnapLogic capabilities across data, integration, MCP, and agentic workflows.

Conhecimentos

AI/LLM concepts

Executive communication

Customer-facing advisory

Pre‑/Post‑Sales collaboration

AI governance/compliance

Prototyping

Hands-on programming

LangChain/LlamaIndex familiarity

Model Context Protocol (MCP)

Cloud deployment (AWS/GCP/Azure)

Ferramentas

Python

JavaScript/Node.js

LangChain

LlamaIndex

MCP

iPaaS

Descrição da oferta de emprego

• As a Forward Deployed Engineer at SnapLogic, you will be a trusted technical advisor to our customers on their AI journey
• Working alongside our 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 our footprint over time
• Partnering closely with our 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
• Identify Opportunities: Partner with customers to build a deep understanding of how their business and uncovers 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 (like agentic architectures) 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 - from hands-on engineers to C-suite executives - around a shared technical vision
• Uncover Friction: Bring genuine curiosity to every engagement, asking the questions that reveal operational inefficiencies others miss
• Apply Best Practices: Bring industry AI judgement into customer conversations, including prompt engineering, LLM selection, tool design, and cost control
• Shape the Product: Feed learnings from the field back to our 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 our capabilities — including data, application integration, MCP, and agentic workflow orchestration — and where each drives value

Benefits

• Employees get the benefit of up to 100 percent coverage for medical, dental, and vision insurance, a competitive compensation package that includes stock options and a 401(k) plan, FSA and Dependent Care Spending Accounts, monthly cell and gym reimbursement, and flexible time off
• How about a catered lunch every day? Check it off the list. We’re also proud of our well-stocked kitchen with snacks and drinks and "Snappy Hours." Holiday parties and other excuses to celebrate are part of our DNA. And we’re family friendly, too – they’re welcome at many of our company gatherings
• We also toss in a few extras like commuter benefits, wellness offerings (we want you healthy), and best of all, a dog-friendly environment, because dogs remind us to always be in the moment. And they do silly things, too

Solid understanding of AI/LLM concepts, including prompt engineering, governance, model selection, tool/function design, and cost to performance trade-offsStrong communication skills, with the ability to move fluidly between deep technical discussions and executive-level business-value conversationsGenuine excitement for the current shift in AI and want to be hands‑on in shaping how enterprises adaptExceptional executive presence, with the gravitas to tactfully challenge assumptions, guide C-level decision‑making, and command a roomExperience in a customer‑facing, hands‑on advisory role e.g., Solutions Architect, Sales Engineer, Field CTO, or a similar hands‑on advisory role working with enterprise customersA collaborative mindset with a proven ability to coordinate across Pre‑Sales, Post‑Sales, Product, and Engineering to deliver outcomesAn understanding of how AI governance and compliance requirements are evolving, and what that means for how solutions get designed and deployedA track record of building working prototypes and solutions under ambiguity, without waiting for fully specified requirementsExperience with enterprise data and application integration, and an interest in how orchestration and agentic workflows fit into that landscapeCuriosity and empathy for how businesses actually operate and the people navigating change inside themFamiliarity with agentic frameworks (e.g., LangChain, LlamaIndex) or the Model Context Protocol (MCP)Hands‑on programming experience (e.g., Python, JavaScript/Node.js) for rapidly building and iterating on AI prototypesPrior experience with enterprise integration platforms (iPaaS)Experience deploying AI or software solutions on major cloud platforms (AWS, GCP, Azure)