Forward Deployed Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Collaborate across Sales, Product, R&D, and Implementation teams.

• Quickly establish the current product using customer data to demonstrate value during strategic agreements.

• Rapidly create near-production-ready solutions utilizing modern AI tools when product capabilities fall short.

• Manage technical outcomes from the discovery phase through to production adoption.

• Partner with Solutions Consultants and Account Executives on strategic accounts and new opportunities.

• Take ownership of discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff processes.

• Design, deploy, and assess solutions using customer data.

• Analyze adoption, workflow impact, reliability, and time-to-value metrics.

• Engineer production solutions focusing on security, reliability, observability, maintainability, and architectural integration.

• Collaborate with Product and R&D to transform validated customer patterns into roadmap investments, reusable components, and platform enhancements.

• Create reusable accelerators based on recurring customer demands.

• Continuously develop and update solution specifications in collaboration with customers.

• Assess business potential, market requirements, competitive differentiation, and functional and technical specifications alongside Product.

• Measure influenced ACV, prototype delivery timelines, transition of prototypes to production, accelerator reuse, and ongoing product gaps.

⛳️ Requirements

• Strong customer-facing and commercial skills.

• Capability to conduct technical discovery sessions and value discussions with both technical and business stakeholders.

• Ability to link technical work to customer outcomes and deal value.

• Skill in generalizing customer solutions into reusable accelerators.

• Experience in LLM application development.

• Knowledge of RAG, prompt and context engineering, and agent orchestration.

• Sound judgment regarding single-agent versus multi-agent patterns, memory, and state management.

• Familiarity with modern AI coding tools like Claude Code.

• Understanding of enterprise integrations within regulated utility markets.

• Experience with ESRI ArcGIS/Smallworld, IBM Maximo/EAM, SAP/Oracle ERP/PPM, and PowerBI/reporting systems.

• Technical and functional knowledge of REST and streaming APIs, authentication patterns, and enterprise systems of record.

• Domain experience in asset-heavy industries or capital and asset investment planning is highly desirable.

• Willingness to travel to customer locations as necessary, up to around 50% of the time.

• Preferred background in software or data engineering.

• Proven experience in building and deploying maintainable production software.

• Proficiency in Angular, Python, or similar programming languages.

• Ability to navigate unfamiliar coding languages and codebases.

• Understanding of SQL, data modeling, and data ingestion, transformation, and serving pipelines.

• Strong debugging skills, especially with imperfect customer data in live environments.

• In-depth production engineering experience in observability, performance, and scaling operations.

• Prior experience in customer-facing technical roles, solutions engineering, forward deployment, technical consulting, or startup environments is preferred.

• Previous experience implementing AI in enterprise or regulated settings is a plus.

🏝️ Benefits

• Opportunities for remote work.

• Hybrid work options available.

• Inclusive workplace culture.

• Chance to work in a global, diverse environment.

• Commitment to sustainability initiatives.

• Access to AI-driven solutions and internal AI adoption strategies.

• Opportunity to influence roadmap investments, reusable components, and platform enhancements.

• Opportunities for customer-site travel.