{"schemaVersion":"jobsearcher.job.v1","id":"86fcdd68cbb57645bbd80c78","url":"https://jobsearcher.com/jobs/86fcdd68cbb57645bbd80c78","canonicalUrl":"https://jobsearcher.com/jobs/86fcdd68cbb57645bbd80c78","title":"Forward Deployed Engineer, Orcher","description":"Take one consequential customer workflow from systems-of-record discovery through verified production execution, then turn the pattern into product.Forward deployment at Dipp AI begins with a real operating process, not a generic proof of concept. You might work with a claims team to verify decisions against policy and member records, a bank to bind an agent's actions to delegated authority, or a manufacturer to control what data can leave a plant or region.You will map the workflow as it actually operates: the people who hold authority, the systems that contain truth, the decisions that require verification, the data boundaries that cannot move and the economic ceilings that make production use sustainable. You will then configure and extend Orcher so the workflow can execute with named accountability and an exportable evidence trail.This is a hands-on engineering role, not implementation project management. You will write integration code, investigate customer environments, make architecture tradeoffs with security and platform leaders, support the first production runs, and bring reusable patterns back into the core product. The best field insight becomes a stronger interface, policy primitive, connector or deployment method for every customer after it.What you will doDiscover consequential workflows with business owners, operators, security teams and platform engineers, then define a narrow production entry pointIntegrate Orcher with identity providers, model gateways, enterprise APIs, data platforms and systems of recordTranslate delegated authority, approval limits, data-residency rules and cost budgets into enforceable runtime policyBuild and test customer-specific adapters while identifying which patterns belong in the core productLead production readiness, failure-mode reviews, evidence validation and the first controlled launchesWrite deployment records and feed field evidence directly into the roadmap with the founding teamTravel to customer sites when discovery, security review or launch work is best done in personWhat we look forStrong software engineering skills and a record of shipping integrations into complex enterprise environmentsAbility to understand an operating process, identify its sources of truth and express its controls preciselyCredibility in architecture discussions with security, identity, data, infrastructure and application teamsComfort debugging unfamiliar systems across APIs, networks, permissions, data models and deployment environmentsExcellent written and verbal communication with both technical and operational stakeholdersJudgment to reduce scope without reducing the integrity of the control being deliveredExperience5+ years in forward-deployed, solutions, platform, integration or enterprise software engineeringOwned a customer deployment from discovery through production and post-launch operationExperience with identity, policy, data infrastructure, AI platforms or regulated workflows is especially relevantWillingness and ability to travel to customer sites as deployments requireEducationDegree in a technical field or equivalent evidence of engineering depth through shipped production workCustomer-facing engineering experience is weighted as heavily as formal credentials.Compensation and benefitsEquity with a standard four-year vest and early-stage upsideHealth, dental and vision coverageCustomer travel and necessary field expenses coveredCompany-provided hardware and technical learning budgetDirect product influence through close work with customers and the founding team401(k) with company contribution and an annual learning budget.J-18808-Ljbffr","company":"Dipp Ai Technologies","rawCompany":"dipp ai technologies","city":"Eastern","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-10-22T12:57:37.055Z","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, Orcher","description":"Take one consequential customer workflow from systems-of-record discovery through verified production execution, then turn the pattern into product.Forward deployment at Dipp AI begins with a real operating process, not a generic proof of concept. You might work with a claims team to verify decisions against policy and member records, a bank to bind an agent's actions to delegated authority, or a manufacturer to control what data can leave a plant or region.You will map the workflow as it actually operates: the people who hold authority, the systems that contain truth, the decisions that require verification, the data boundaries that cannot move and the economic ceilings that make production use sustainable. You will then configure and extend Orcher so the workflow can execute with named accountability and an exportable evidence trail.This is a hands-on engineering role, not implementation project management. You will write integration code, investigate customer environments, make architecture tradeoffs with security and platform leaders, support the first production runs, and bring reusable patterns back into the core product. The best field insight becomes a stronger interface, policy primitive, connector or deployment method for every customer after it.What you will doDiscover consequential workflows with business owners, operators, security teams and platform engineers, then define a narrow production entry pointIntegrate Orcher with identity providers, model gateways, enterprise APIs, data platforms and systems of recordTranslate delegated authority, approval limits, data-residency rules and cost budgets into enforceable runtime policyBuild and test customer-specific adapters while identifying which patterns belong in the core productLead production readiness, failure-mode reviews, evidence validation and the first controlled launchesWrite deployment records and feed field evidence directly into the roadmap with the founding teamTravel to customer sites when discovery, security review or launch work is best done in personWhat we look forStrong software engineering skills and a record of shipping integrations into complex enterprise environmentsAbility to understand an operating process, identify its sources of truth and express its controls preciselyCredibility in architecture discussions with security, identity, data, infrastructure and application teamsComfort debugging unfamiliar systems across APIs, networks, permissions, data models and deployment environmentsExcellent written and verbal communication with both technical and operational stakeholdersJudgment to reduce scope without reducing the integrity of the control being deliveredExperience5+ years in forward-deployed, solutions, platform, integration or enterprise software engineeringOwned a customer deployment from discovery through production and post-launch operationExperience with identity, policy, data infrastructure, AI platforms or regulated workflows is especially relevantWillingness and ability to travel to customer sites as deployments requireEducationDegree in a technical field or equivalent evidence of engineering depth through shipped production workCustomer-facing engineering experience is weighted as heavily as formal credentials.Compensation and benefitsEquity with a standard four-year vest and early-stage upsideHealth, dental and vision coverageCustomer travel and necessary field expenses coveredCompany-provided hardware and technical learning budgetDirect product influence through close work with customers and the founding team401(k) with company contribution and an annual learning budget.J-18808-Ljbffr","datePosted":"2026-10-22T12:57:37.055Z","dateModified":"2026-10-22T12:57:37.055Z","hiringOrganization":{"@type":"Organization","name":"Dipp Ai Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eastern","addressRegion":"KY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"86fcdd68cbb57645bbd80c78"},"url":"https://jobsearcher.com/jobs/86fcdd68cbb57645bbd80c78"}}