IFS
IFS
IFS аэроғарыш және қорғаныс, құрылыс және инженерия, энергетика және коммуналдық қызметтер, өндіріс, қызмет көрсету, ресурстар және телекоммуникациялар сияқты салаларда жұмыс істейтін ұйымдарға арналған корпоративтік бағдарламалық жасақтама әзірлейді. Оның өнімдер портфеліне кәсіпорын активтерін басқару, далалық қызмет көрсетуді басқару, кәсіпорын ресурстарын жоспарлау және IFS.ai мүмкіндіктері кіреді. Компания IFS Cloud арқылы осы құралдарды біріктіріп, бизнеске активтердің өмірлік циклдерін басқаруға, қызмет көрсету операцияларын үйлестіруге, клиенттермен өзара әрекеттесуге және операциялық деректерді неғұрлым негізделген шешімдер қабылдауды қолдауға пайдалануға көмектеседі.

Forward Deployed AI Engineer at IFS (UK Remote)

Deploy and prototype AI-powered decision analytics for utilities, energy, water, and transportation customers. Connect enterprise data and workflows to measurable business outcomes.

Сипаттама

  • Collaborate across Sales, Product, R&D, and Implementation to deliver customer solutions
  • Support Solutions Consultants and Account Executives on strategic accounts and new-business opportunities
  • Lead discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff for strategic solutions
  • Deploy the existing product against customer data to demonstrate value during sales engagements
  • Rapidly prototype near-production solutions when existing product capabilities fall short
  • Build, deploy, and assess solutions using customer data
  • Track adoption, workflow effects, reliability, and time to value
  • Design production systems for security, reliability, observability, maintainability, and architectural integration
  • Work with Product and R&D to turn validated customer patterns and production evidence into roadmap initiatives, reusable components, and platform improvements
  • Create reusable accelerators based on recurring customer requirements
  • Create and continuously refine solution specifications with customers
  • Assess business potential, market demand, competitive differentiation, and functional and technical specifications with Product
  • Help influence deal ACV and shorten the path to a working prototype
  • Monitor prototype progression into production and the reuse of shipped patterns and accelerators

Талаптар

  • Combine customer-facing communication skills with commercial awareness
  • Lead technical discovery and discuss value with technical and business stakeholders
  • Relate engineering decisions to customer outcomes and deal value
  • Turn individual customer solutions into reusable accelerators
  • Develop LLM applications using RAG, prompt and context engineering, and agent orchestration
  • Choose appropriately between single-agent and multi-agent designs, including memory and state management
  • Use modern AI coding tools such as Claude Code
  • Understand enterprise integrations in regulated utility environments
  • Know systems such as ESRI ArcGIS/Smallworld, IBM Maximo/EAM, SAP/Oracle ERP/PPM, and PowerBI or comparable reporting platforms
  • Understand REST and streaming APIs, authentication approaches, and enterprise systems of record
  • Bring domain experience in asset-intensive industries or capital and asset investment planning as a strong advantage
  • Be prepared to travel to customer locations as needed, up to approximately 50%
  • Have a software or data engineering background
  • Have experience building and delivering maintainable production software
  • Be fluent in Angular, Python, or a comparable language
  • Understand SQL, data modeling, and data ingestion, transformation, and serving pipelines
  • Debug effectively with incomplete or inconsistent customer data in live environments
  • Bring production engineering experience in observability, performance, and operation at scale
  • Have prior customer-facing technical, solutions engineering, forward deployment, technical consulting, or startup experience as a preferred qualification
  • Have prior experience deploying AI in enterprise or regulated settings as a preferred qualification

Артықшылықтар

  • Flexible paid time off covering sick leave and holidays
  • Medical, dental, and vision insurance
  • Flexible spending accounts
  • Life and disability insurance
  • Tuition assistance
  • Community participation and volunteer events
  • Bonus

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