{"schemaVersion":"jobsearcher.job.v1","id":"b98f1189eff69658fab4499d","url":"https://jobsearcher.com/jobs/b98f1189eff69658fab4499d","canonicalUrl":"https://jobsearcher.com/jobs/b98f1189eff69658fab4499d","title":"Forward Deployed Engineer / AI Implementation Lead","description":"Overview\nAs our Forward Deployed Engineer, you will be the person who makes it real. You will sit at the intersection of AI engineering, client delivery, and CRE domain translation taking a brief, determining the technical approach independently, and shipping AI solutions that clients actually use. This is not a role for someone who wants to work in isolation. You will be embedded in client environments, building production‑grade AI workflows while the Engagement Manager runs the relationship with you.\n\nRole Details\nLocation: Chicago (Open to Remote) with client travel\n\nType: Full‑time\n\nReporting: Works directly with the founder and alongside the Engagement Manager on active client accounts\n\nWhat You’ll Do\n\nOwn technical delivery end‑to‑end: scoping, building, testing, and iterating without needing a PM to manage the process.\n\nDesign and deploy LLM workflows, RAG pipelines, and AI agent configurations tailored to specific CRE operational problems.\n\nSit in on client discovery sessions to ask the technical questions that shape what gets built.\n\nTranslate ambiguous client briefs into precise technical scopes with clear inputs, outputs, and success criteria.\n\nShip a working solution within the first week of every engagement. Momentum is the product.\n\nDocument everything: prompts, pipelines, configurations, and integration patterns that become reusable platform IP.\n\nFeed field learnings back into the platform — agent library, onboarding templates, and delivery playbooks.\n\nWhat We’re Looking For\nRequired\n\n3–7 years of hands‑on experience building and deploying AI systems in production — not demos or prototypes that never shipped.\n\nDeep practical fluency with LLM APIs and orchestration frameworks: OpenAI, Anthropic, AWS Bedrock, LangChain, or equivalents.\n\nDemonstrated ability to build RAG pipelines, agent systems, and data integration workflows independently.\n\nComfortable working directly with clients — you can sit across from a VP of Asset Management, understand what they need, and build it.\n\nAutonomous and self‑managing: you resolve your own blockers and keep the build moving.\n\nFast learner who will go deep on CRE workflows and find that interesting, not tedious.\n\nPreferred\n\nExperience in a Palantir‑style forward‑deployed or embedded engineering role, technical consulting, or an early‑stage startup.\n\nPrior exposure to commercial real estate, proptech, or adjacent industries.\n\nExperience integrating AI systems with enterprise data environments: property management, financial platforms, lease administration.\n\nTrack record of building reusable technical infrastructure, not just one‑off solutions.\n\nHow Engagements Work (3‑Phase Model)\nDiscovery (Weeks 1–3)\n\nStakeholder interviews\n\nProcess mapping and current‑state assessment\n\nPain point prioritization and use‑case selection\n\nOutput: prioritized roadmap + technical briefs + success metrics\n\nBuild (Weeks 4–8)\n\nPartner with the Engagement Manager on backend data work and AI solution configuration\n\nValidate hypotheses with client stakeholders through iterative check‑ins\n\nOutput: configured solution(s), implementation plan, and readiness checklist\n\nImplementation & Expansion (Ongoing)\n\nLive deployment and adoption support\n\nMeasurement and iteration against success metrics\n\nIdentification of next use cases in partnership with the Engagement Manager\n\nOutput: sustained outcomes and account growth plan\n\nWhat Makes This Role Different\nMost AI engineering roles sit behind a product manager, a solutions engineer, and a client success layer. This one does not. You will work with a small founding team, directly with clients, on problems that have genuine financial consequence in one of the largest asset classes in the world.\n\nThe FDE role at Fifth Wall Analytics is closer to the Palantir model than a typical AI engineering position: you are expected to own the technical outcome, understand the business problem deeply enough to challenge the brief, and build things that actually get used by the people who run billion‑dollar portfolios.\n\nIn return, you will accumulate an unusually deep cross‑section of CRE operational knowledge, a reusable technical platform that compounds with every engagement, and — for the right candidate — a meaningful equity stake in a business being built at the right moment in a market that has barely started its AI transformation.\n\n#J-18808-Ljbffr","company":"Fifth Wall Analytics","rawCompany":"fifth wall analytics","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-07-04T03:57:08.992Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer / AI Implementation Lead","description":"Overview\nAs our Forward Deployed Engineer, you will be the person who makes it real. You will sit at the intersection of AI engineering, client delivery, and CRE domain translation taking a brief, determining the technical approach independently, and shipping AI solutions that clients actually use. This is not a role for someone who wants to work in isolation. You will be embedded in client environments, building production‑grade AI workflows while the Engagement Manager runs the relationship with you.\n\nRole Details\nLocation: Chicago (Open to Remote) with client travel\n\nType: Full‑time\n\nReporting: Works directly with the founder and alongside the Engagement Manager on active client accounts\n\nWhat You’ll Do\n\nOwn technical delivery end‑to‑end: scoping, building, testing, and iterating without needing a PM to manage the process.\n\nDesign and deploy LLM workflows, RAG pipelines, and AI agent configurations tailored to specific CRE operational problems.\n\nSit in on client discovery sessions to ask the technical questions that shape what gets built.\n\nTranslate ambiguous client briefs into precise technical scopes with clear inputs, outputs, and success criteria.\n\nShip a working solution within the first week of every engagement. Momentum is the product.\n\nDocument everything: prompts, pipelines, configurations, and integration patterns that become reusable platform IP.\n\nFeed field learnings back into the platform — agent library, onboarding templates, and delivery playbooks.\n\nWhat We’re Looking For\nRequired\n\n3–7 years of hands‑on experience building and deploying AI systems in production — not demos or prototypes that never shipped.\n\nDeep practical fluency with LLM APIs and orchestration frameworks: OpenAI, Anthropic, AWS Bedrock, LangChain, or equivalents.\n\nDemonstrated ability to build RAG pipelines, agent systems, and data integration workflows independently.\n\nComfortable working directly with clients — you can sit across from a VP of Asset Management, understand what they need, and build it.\n\nAutonomous and self‑managing: you resolve your own blockers and keep the build moving.\n\nFast learner who will go deep on CRE workflows and find that interesting, not tedious.\n\nPreferred\n\nExperience in a Palantir‑style forward‑deployed or embedded engineering role, technical consulting, or an early‑stage startup.\n\nPrior exposure to commercial real estate, proptech, or adjacent industries.\n\nExperience integrating AI systems with enterprise data environments: property management, financial platforms, lease administration.\n\nTrack record of building reusable technical infrastructure, not just one‑off solutions.\n\nHow Engagements Work (3‑Phase Model)\nDiscovery (Weeks 1–3)\n\nStakeholder interviews\n\nProcess mapping and current‑state assessment\n\nPain point prioritization and use‑case selection\n\nOutput: prioritized roadmap + technical briefs + success metrics\n\nBuild (Weeks 4–8)\n\nPartner with the Engagement Manager on backend data work and AI solution configuration\n\nValidate hypotheses with client stakeholders through iterative check‑ins\n\nOutput: configured solution(s), implementation plan, and readiness checklist\n\nImplementation & Expansion (Ongoing)\n\nLive deployment and adoption support\n\nMeasurement and iteration against success metrics\n\nIdentification of next use cases in partnership with the Engagement Manager\n\nOutput: sustained outcomes and account growth plan\n\nWhat Makes This Role Different\nMost AI engineering roles sit behind a product manager, a solutions engineer, and a client success layer. This one does not. You will work with a small founding team, directly with clients, on problems that have genuine financial consequence in one of the largest asset classes in the world.\n\nThe FDE role at Fifth Wall Analytics is closer to the Palantir model than a typical AI engineering position: you are expected to own the technical outcome, understand the business problem deeply enough to challenge the brief, and build things that actually get used by the people who run billion‑dollar portfolios.\n\nIn return, you will accumulate an unusually deep cross‑section of CRE operational knowledge, a reusable technical platform that compounds with every engagement, and — for the right candidate — a meaningful equity stake in a business being built at the right moment in a market that has barely started its AI transformation.\n\n#J-18808-Ljbffr","datePosted":"2026-07-04T03:57:08.992Z","dateModified":"2026-07-04T03:57:08.992Z","hiringOrganization":{"@type":"Organization","name":"Fifth Wall Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b98f1189eff69658fab4499d"},"url":"https://jobsearcher.com/jobs/b98f1189eff69658fab4499d"}}