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3 дня назад

Forward Deployed Engineer (AI)

75 000 - 110 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Forward Deployed Engineer (AI): Deploying IFS Copperleaf solutions on customer data and rapidly prototyping AI-powered capabilities for asset-intensive organizations with an accent on discovery, enterprise integrations, and production adoption. Focus on building secure and reusable LLM, RAG, and agentic solutions, measuring customer value, and translating validated patterns into product roadmap improvements.

Location: Staines-upon-Thames, England, United Kingdom; flexible hybrid work opportunities are available, with travel to customer sites as needed up to approximately 50%.

Salary: £75,000–£110,000 annually plus bonus

Company

hirify.global develops enterprise software and AI-powered decision analytics for asset-intensive organizations, including utilities, energy, water, and transportation.

What you will do

  • Partner with Solutions Consultants, Account Executives, Product, and R&D on strategic customer opportunities.
  • Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff.
  • Build and deploy prototypes using customer data to prove business value within deal timelines.
  • Engineer production solutions for security, reliability, observability, maintainability, and enterprise integration.
  • Measure adoption, workflow impact, reliability, and time-to-value with technical and business stakeholders.
  • Turn validated customer patterns into reusable accelerators, roadmap investments, and platform improvements.

Requirements

  • Customer-facing and commercial ability, including technical discovery and value conversations with technical and business stakeholders.
  • Experience with LLM application development, RAG, prompt and context engineering, and agent orchestration.
  • Understanding of enterprise integrations, REST and streaming APIs, authentication, and systems such as ArcGIS, Maximo, SAP, Oracle, and PowerBI.
  • Software or data engineering experience with production-quality code; familiarity with Angular, Python or a similar language, SQL, data modeling, and data pipelines.
  • Ability to work with imperfect customer data and experience with observability, performance, and production systems.
  • Willingness to travel to customer sites as needed, up to approximately 50%.

Nice to have

  • Experience in utilities, energy, transportation, or capital and asset investment planning.
  • Customer-facing technical work, solutions engineering, forward deployment, technical consulting, or startup experience.
  • Experience deploying AI in enterprise or regulated environments.

Culture & Benefits

  • Flexible hybrid work environment with an emphasis on collaboration and inclusive workplace experiences.
  • Flexible paid time off, including sick leave and holidays.
  • Medical, dental, vision, life insurance, disability benefits, and flexible spending accounts.
  • Tuition assistance and community involvement or volunteering opportunities.
  • Opportunity to work on AI-powered solutions for infrastructure and asset-intensive industries.

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