Forward Deployed Engineer

WhyHireWrong?

. Lead technical discovery with enterprise customers, including C-level and senior business stakeholders .

Posted 10/25/2026full-timeLondon • United KingdomMid-LevelSenior💰 £130,000 - £160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technical discovery and implementing solutions for enterprise customers, utilizing skills in Python, JavaScript, SQL, and AI technologies. Capable of translating complex technical requirements into actionable business outcomes while effectively communicating with diverse stakeholders.

Highest-signal resume keywords

Python ProgrammingJavaScript ProgrammingSQL ProficiencyApplied AI ExperienceTechnical Consulting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSolutions EngineeringTechnical DiscoveryIntegration DesignAutomation Workflow Development

Soft Skills

Strong Communication SkillsProblem SolvingStakeholder Engagement

Tools & Technologies

APIsJSONWebhooksLLM-Based AgentsMCP

Industry Keywords

Enterprise CustomersVenture-Backed StartupHigh-Growth EnvironmentTechnical AdvisorCommercial Discussions

Tech Stack

Tools & technologies

JavaScriptPythonSQL

About the role

Key responsibilities & impact

Lead technical discovery with enterprise customers, including C-level and senior business stakeholders
Understand customer workflows, systems, data sources, and operational challenges
Scope implementation projects, define success criteria, and translate business requirements into technical solutions
Design and build integrations between the AI platform and customer systems using Python or JavaScript, SQL, APIs, JSON, and webhooks
Develop, configure, and deploy LLM-based agents and automation workflows in production environments
Work with AI evaluation methods, retrieval systems, MCP, and agent frameworks to ensure reliable, fit-for-purpose solutions
Handle deployment constraints including legacy systems, incomplete documentation, limited APIs, and changing customer requirements
Communicate technical decisions, risks, and trade-offs to technical and non-technical stakeholders
Measure and communicate business impact, including efficiency gains, cost savings, and operational improvements
Act as a trusted technical advisor throughout implementation and post-deployment engagement

Requirements

What you’ll need

5+ years of experience in software engineering, solutions engineering, technical consulting, or a similar customer-facing technical role
External, commercial experience working with named enterprise customers of a software product, including scoping work with economic buyers
Experience working in a venture-backed startup or scale-up, ideally from Seed to Series B, or in a genuine high-growth enterprise environment
Hands-on experience with Python or JavaScript, SQL, APIs, JSON, and webhooks
Applied AI experience, including practical work with LLMs, agent frameworks, evaluations, MCP, or retrieval-based systems
Ability to move comfortably between technical implementation and commercial discussions
Strong communication skills and ability to explain complex technical concepts in business terms
Practical, outcome-driven approach to problem solving
Full professional fluency in English

Benefits

Comp & perks

Senior, high-impact role shaping how enterprise customers adopt and operationalize AI
Direct exposure to senior stakeholders and meaningful ownership of customer outcomes
Opportunity to work on complex, real-world AI deployments rather than isolated proofs of concept
Collaborative environment valuing commercial judgment, technical versatility, and practical execution