Forward Deployed Engineer

atIFSRemoteUS flagUnited StatesFull-timeEngineerMid-levelSeniorΒ£117k – Β£168k/year

Posted Aug 28

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

πŸ“‹ Description

β€’ Collaborate across Sales, Product, R&D, and Implementation teams.

β€’ Quickly establish the existing product on customer data to demonstrate value in strategic deals.

β€’ Rapidly create near-production-ready solutions when product capabilities fall short.

β€’ Take ownership of discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff.

β€’ Partner with Solutions Consultants and Account Executives on strategic accounts and new opportunities.

β€’ Construct, deploy, and assess solutions utilizing customer data.

β€’ Evaluate adoption, workflow impact, reliability, and time-to-value; iterate with stakeholders.

β€’ Design production solutions focusing on security, reliability, observability, maintainability, and architectural integration.

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

β€’ Create reusable accelerators and customer solution specifications.

β€’ Align customer needs, ideas, roadmaps, and visions with Product and Sales.

β€’ Assess business potential, market needs, competitive differentiation, and functional/technical specifications.

β€’ Measure role outcomes such as influenced ACV, prototype speed, production graduation, accelerator reuse, and product gap follow-through.


⛳️ Requirements

β€’ Strong customer-facing and commercial skills, including technical discovery and value discussions with both technical and business stakeholders.

β€’ Ability to generalize customer solutions into reusable accelerators.

β€’ Experience in LLM application development, RAG, prompt and context engineering, and agent orchestration.

β€’ Sound judgment regarding single versus multi-agent patterns and managing memory and state.

β€’ Familiarity with modern AI coding tools such as Claude Code.

β€’ Knowledge of enterprise integrations within regulated utility markets.

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

β€’ Technical and functional comprehension of REST and streaming APIs, authentication patterns, and enterprise systems of record.

β€’ Domain experience in asset-intensive industries or capital and asset investment planning is a significant advantage, though not a requirement.

β€’ Willingness to travel to customer sites as necessary, up to approximately 50%.

β€’ Background in software or data engineering; experience in building and deploying maintainable production software.

β€’ Proficiency in Angular, Python, or a comparable language; adaptability to unfamiliar languages and codebases.

β€’ Understanding of SQL, data modeling, and pipelines for ingestion, transformation, and serving.

β€’ Strong debugging skills against imperfect customer data in live environments.

β€’ Depth of experience in production engineering focused on observability, performance, and operating at scale.

β€’ Previous customer-facing technical roles, including solutions engineering, forward deployment, technical consulting, or startup experience.

β€’ Prior experience deploying AI in enterprise or regulated settings.


🏝️ Benefits

β€’ Flexible paid time off, encompassing sick leave and holidays.

β€’ Comprehensive medical, dental, and vision insurance.

β€’ Flexible spending accounts.

β€’ Life insurance and disability benefits.

β€’ Tuition assistance.

β€’ Opportunities for community involvement and volunteering events.

β€’ Bonus.

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