{"schemaVersion":"jobsearcher.job.v1","id":"0c61ddf88884329418646833","url":"https://jobsearcher.com/jobs/0c61ddf88884329418646833","canonicalUrl":"https://jobsearcher.com/jobs/0c61ddf88884329418646833","title":"Forward Deployed Engineer","description":"At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.\n\nMore than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.\n\nOur Culture\n\nAt CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:\n\nMission-Driven: We focus on creating economic and social impact.\nPeople-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.\nInnovative: We embrace change and find better ways to do things together.\nGlobally Connected: We foster collaboration between diverse cultures and perspectives.\n\nIf you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!\n\nRole Summary:\n\nCloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions we offer Forward deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.\n\nYou will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment.\n\nThis is a hands-on engineering role with strong product and client-facing responsibilities.\n\nLocation & Travel:\n\nPreferred location:\nDallas, TX\nBoston, MA\nNew York, NY\nSeattle, WA\nChicago, IL\nRelocation assistance available for qualified candidates\nFrequent travel to client sites may be required (depending on client needs)\n\nResponsibilities:\n\nAI Deployment Architecture:\n\nDesign and implement integrations between client systems and CloudFactory’s platform\nArchitect scalable agentic AI & human-in-the-loop workflows\nDefine data ingestion, transformation, and feedback loops\nEvaluate system bottlenecks (latency, quality, throughput)\n\nProduct Readiness & Scale:\n\nTranslate proof-of-concept AI systems into scalable production workflows\nIdentify operational risks before deployment\nPartner with Delivery teams to ensure execution feasibility\nImprove reliability and reduce manual intervention\n\nHands-on Engineering:\n\nBuild APIs, connectors, automation scripts, and data pipelines\nDebug integration issues in client environments\nContribute to internal platform enhancements\n\nField Product Intelligence:\n\nSurface recurring patterns from client deployments\nDistinguish between custom solutions and reusable features\nInfluence roadmap priorities with evidence from the field\n\nTechnical Leadership:\n\nLead technical discovery sessions\nSupport pre-sales validation\nAct as trusted advisor to enterprise engineering teams\n\nRequirements\n\nEngineering depth:\n\n2+ years software engineering experience\nStrong proficiency in Python, Go\nProficiency with Claude and all relevant AI tools\nExperience with cloud infrastructure (AWS/GCP/Azure)\nExperience building APIs and working with distributed systems\n\nSystems thinking:\n\nExperience designing data pipelines or ML infrastructure\nAbility to evaluate end-to-end workflow performance\nFamiliarity with AI/ML lifecycle (training → inference → evaluation → feedback)\n\nProduct judgement:\n\nAbility to differentiate scalable feature opportunities from custom requests\nStrong prioritization instincts\n\nCommunication:\n\nAbility to communicate with C-level and deeply technical stakeholders\nComfortable running technical workshops\nAble to translate ambiguity into architecture","company":"Cloudfactory","rawCompany":"cloudfactory","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-09-03T09:00:02.649Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer","description":"At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.\n\nMore than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.\n\nOur Culture\n\nAt CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:\n\nMission-Driven: We focus on creating economic and social impact.\nPeople-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.\nInnovative: We embrace change and find better ways to do things together.\nGlobally Connected: We foster collaboration between diverse cultures and perspectives.\n\nIf you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!\n\nRole Summary:\n\nCloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions we offer Forward deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.\n\nYou will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment.\n\nThis is a hands-on engineering role with strong product and client-facing responsibilities.\n\nLocation & Travel:\n\nPreferred location:\nDallas, TX\nBoston, MA\nNew York, NY\nSeattle, WA\nChicago, IL\nRelocation assistance available for qualified candidates\nFrequent travel to client sites may be required (depending on client needs)\n\nResponsibilities:\n\nAI Deployment Architecture:\n\nDesign and implement integrations between client systems and CloudFactory’s platform\nArchitect scalable agentic AI & human-in-the-loop workflows\nDefine data ingestion, transformation, and feedback loops\nEvaluate system bottlenecks (latency, quality, throughput)\n\nProduct Readiness & Scale:\n\nTranslate proof-of-concept AI systems into scalable production workflows\nIdentify operational risks before deployment\nPartner with Delivery teams to ensure execution feasibility\nImprove reliability and reduce manual intervention\n\nHands-on Engineering:\n\nBuild APIs, connectors, automation scripts, and data pipelines\nDebug integration issues in client environments\nContribute to internal platform enhancements\n\nField Product Intelligence:\n\nSurface recurring patterns from client deployments\nDistinguish between custom solutions and reusable features\nInfluence roadmap priorities with evidence from the field\n\nTechnical Leadership:\n\nLead technical discovery sessions\nSupport pre-sales validation\nAct as trusted advisor to enterprise engineering teams\n\nRequirements\n\nEngineering depth:\n\n2+ years software engineering experience\nStrong proficiency in Python, Go\nProficiency with Claude and all relevant AI tools\nExperience with cloud infrastructure (AWS/GCP/Azure)\nExperience building APIs and working with distributed systems\n\nSystems thinking:\n\nExperience designing data pipelines or ML infrastructure\nAbility to evaluate end-to-end workflow performance\nFamiliarity with AI/ML lifecycle (training → inference → evaluation → feedback)\n\nProduct judgement:\n\nAbility to differentiate scalable feature opportunities from custom requests\nStrong prioritization instincts\n\nCommunication:\n\nAbility to communicate with C-level and deeply technical stakeholders\nComfortable running technical workshops\nAble to translate ambiguity into architecture","datePosted":"2026-09-03T09:00:02.649Z","dateModified":"2026-09-03T09:00:02.649Z","hiringOrganization":{"@type":"Organization","name":"Cloudfactory","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0c61ddf88884329418646833"},"url":"https://jobsearcher.com/jobs/0c61ddf88884329418646833"}}