{"schemaVersion":"jobsearcher.job.v1","id":"1c5f52f14d6c7aaac6d1cacf","url":"https://jobsearcher.com/jobs/1c5f52f14d6c7aaac6d1cacf","canonicalUrl":"https://jobsearcher.com/jobs/1c5f52f14d6c7aaac6d1cacf","title":"Forward Deployed Engineer","description":"At Arrayo, we don’t just build software - we build intelligent systems that think, adapt, and accelerate real-world science and manufacturing. Our engineers are fluent in AI-augmented development and deploy production systems at a pace that would be impossible without it.\r\nWe’re hiring Forward Deployed Engineers across multiple levels who combine scientific domain expertise with modern AI-native software engineering. This is a high-autonomy, customer-embedded role for engineers who use AI as a core part of how they design, write, test, and ship code.\r\nThis track focuses on chemistry, materials science, and industrial manufacturing environments.\r\nThe RoleAs a Forward Deployed Engineer at Arrayo, you will embed with scientific and industrial teams to understand how their labs and plants truly operate. You will architect and deploy AI-enabled systems that transform fragmented workflows into intelligent, automated processes.\r\nAI fluency is not optional in this role. You will:\r\nUse AI tools to accelerate development, testing, debugging, and documentation\r\nDesign agent-driven workflows that automate complex scientific and operational tasks\r\nBuild systems where AI is embedded into the product itself - not layered on as an afterthought\r\nRapidly prototype, validate, and productionize solutions in days or weeks\r\nYou are expected to operate as a force multiplier - leveraging AI to extend your individual engineering output and impact.\r\nWhat You’ll DeliverAI-powered scientific workflows for materials analysis, formulation optimization, and process control\r\nIntelligent integrations between industrial hardware (PLCs, lab instrumentation, control systems) and enterprise platforms (MES, ERP, LIMS, SCADA)\r\nReal-time data pipelines that clean, contextualize, and structure experimental and manufacturing data\r\nAgentic systems that assist scientists and engineers in decision-making\r\nProduction-grade full-stack applications that make advanced AI capabilities intuitive and accessible\r\nDeployments that scale from pilot environments to enterprise-wide adoption\r\nCore ExpectationsComfort using AI coding assistants and tooling as part of your daily development workflow\r\nAbility to design systems that incorporate LLMs, automation agents, and machine learning components\r\nUnderstanding of prompt engineering, evaluation, observability, and model limitations\r\nPragmatic judgment about when to use AI - and when not to\r\nTechnical ExecutionStrong full-stack capabilities across backend systems, APIs, data engineering, and frontend development\r\nExperience building and maintaining reliable data pipelines for complex datasets\r\nAbility to write production-ready, maintainable code under tight iteration cycles\r\nDomain ExpertiseBackground in chemistry, materials science, chemical engineering, or related field\r\nExperience operating in industrial or manufacturing contexts\r\nCommunication & OwnershipComfortable interfacing with executives, scientists, and operators\r\nClear communicator who can translate between technical and domain stakeholders\r\nWillingness to travel for on-site collaboration and deployment\r\nNice to HaveExperience deploying AI/ML systems in production environments\r\nBackground in controls engineering or industrial automation\r\nExperience with scientific computing ecosystems (Python, data analysis, modeling tools)\r\nExperience building modern web applications\r\nWhat Makes Someone Exceptional HereAI-Leveraged– You treat AI as a core engineering primitive, not a novelty.\r\nOutcome-Focused– You prioritize deployed systems and measurable results.\r\nSystems-Oriented– You understand the interplay between hardware, software, and data.\r\nComfortable in Ambiguity– You can define structure in chaotic environments.\r\nRelentlessly Practical– You optimize for what works in production, not what looks elegant in theory.#J-18808-Ljbffr","company":"Arrayo","rawCompany":"arrayo","city":"Oklahoma City","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:23:19.956Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2041.00","title":"Chemical Engineers","slug":"chemical-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer","description":"At Arrayo, we don’t just build software - we build intelligent systems that think, adapt, and accelerate real-world science and manufacturing. Our engineers are fluent in AI-augmented development and deploy production systems at a pace that would be impossible without it.\r\nWe’re hiring Forward Deployed Engineers across multiple levels who combine scientific domain expertise with modern AI-native software engineering. This is a high-autonomy, customer-embedded role for engineers who use AI as a core part of how they design, write, test, and ship code.\r\nThis track focuses on chemistry, materials science, and industrial manufacturing environments.\r\nThe RoleAs a Forward Deployed Engineer at Arrayo, you will embed with scientific and industrial teams to understand how their labs and plants truly operate. You will architect and deploy AI-enabled systems that transform fragmented workflows into intelligent, automated processes.\r\nAI fluency is not optional in this role. You will:\r\nUse AI tools to accelerate development, testing, debugging, and documentation\r\nDesign agent-driven workflows that automate complex scientific and operational tasks\r\nBuild systems where AI is embedded into the product itself - not layered on as an afterthought\r\nRapidly prototype, validate, and productionize solutions in days or weeks\r\nYou are expected to operate as a force multiplier - leveraging AI to extend your individual engineering output and impact.\r\nWhat You’ll DeliverAI-powered scientific workflows for materials analysis, formulation optimization, and process control\r\nIntelligent integrations between industrial hardware (PLCs, lab instrumentation, control systems) and enterprise platforms (MES, ERP, LIMS, SCADA)\r\nReal-time data pipelines that clean, contextualize, and structure experimental and manufacturing data\r\nAgentic systems that assist scientists and engineers in decision-making\r\nProduction-grade full-stack applications that make advanced AI capabilities intuitive and accessible\r\nDeployments that scale from pilot environments to enterprise-wide adoption\r\nCore ExpectationsComfort using AI coding assistants and tooling as part of your daily development workflow\r\nAbility to design systems that incorporate LLMs, automation agents, and machine learning components\r\nUnderstanding of prompt engineering, evaluation, observability, and model limitations\r\nPragmatic judgment about when to use AI - and when not to\r\nTechnical ExecutionStrong full-stack capabilities across backend systems, APIs, data engineering, and frontend development\r\nExperience building and maintaining reliable data pipelines for complex datasets\r\nAbility to write production-ready, maintainable code under tight iteration cycles\r\nDomain ExpertiseBackground in chemistry, materials science, chemical engineering, or related field\r\nExperience operating in industrial or manufacturing contexts\r\nCommunication & OwnershipComfortable interfacing with executives, scientists, and operators\r\nClear communicator who can translate between technical and domain stakeholders\r\nWillingness to travel for on-site collaboration and deployment\r\nNice to HaveExperience deploying AI/ML systems in production environments\r\nBackground in controls engineering or industrial automation\r\nExperience with scientific computing ecosystems (Python, data analysis, modeling tools)\r\nExperience building modern web applications\r\nWhat Makes Someone Exceptional HereAI-Leveraged– You treat AI as a core engineering primitive, not a novelty.\r\nOutcome-Focused– You prioritize deployed systems and measurable results.\r\nSystems-Oriented– You understand the interplay between hardware, software, and data.\r\nComfortable in Ambiguity– You can define structure in chaotic environments.\r\nRelentlessly Practical– You optimize for what works in production, not what looks elegant in theory.#J-18808-Ljbffr","datePosted":"2026-11-04T02:23:19.956Z","dateModified":"2026-11-04T02:23:19.956Z","hiringOrganization":{"@type":"Organization","name":"Arrayo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oklahoma City","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1c5f52f14d6c7aaac6d1cacf"},"url":"https://jobsearcher.com/jobs/1c5f52f14d6c7aaac6d1cacf"}}