Senior Forward Deployed Engineer

What this job can offer you As a Forward Deployed Engineer (AI) at Remote, you will work directly with customers and internal stakeholders to design, build, and deploy AI-powered solutions that connect Remote’s platform to customer systems and workflows. You will turn messy, real-world requirements into production-grade implementations — often by building integrations, automations, and agentic workflows — and you’ll translate field learnings back into reusable patterns and product roadmap inputs. - High autonomy and direct ownership of customer outcomes — from discovery through production rollout; - Work at the frontier of practical AI: shipping systems that are reliable, observable, secure, and measurable; - A seat at the intersection of Product, Engineering, Sales/CS, and customer teams — with clear influence on what we build next. Exposure to a wide set of domains (HR, payroll, finance ops, IT, integrations) and complex enterprise ecosystems; - A remote-first environment with strong documentation culture and high trust. What you bring Must have: - Demonstrated experience shipping production software (backend and/or full-stack) and owning it in production (on-call mindset, debugging, instrumentation); - Strong integration and systems thinking: APIs, event-driven systems, webhooks, auth (OAuth/service accounts), data modeling, idempotency, and failure modes; - Applied AI/LLM experience beyond prototypes: prompt+tool design, RAG and retrieval patterns, evaluation, latency/cost trade-offs, and reliability practices; - Ability to operate in ambiguity: you can go from “problem statement” to “shipped solution” with minimal hand-holding; - Clear, structured communication in writing; ability to explain trade-offs to technical and non-technical stakeholders. Nice to have: - Experience with enterprise environments (security reviews, compliance constraints, procurement, change management); - Experience building with agent frameworks and/or workflow orchestration systems; - Familiarity with HRIS, payroll, identity/access management, or adjacent enterprise domains; - Experience with multi-tenant SaaS, RBAC, and data privacy by design. Key Responsibilities - Partner with customers to understand operational challenges, constraints, and success criteria; run structured technical discovery and define the “definition of done”; - Translate open-ended problems into clear technical designs and implementation plans (architecture, data flows, integration surfaces, security considerations, rollout strategy); - Build AI-enabled solutions that integrate with customer systems and Remote’s platform (e.g., data pipelines, workflow automations, tool integrations, agentic services) and perform real tasks end-to-end; - Own deployments including reliability, performance, observability, incident response, and continuous improvement; - Develop evaluation and measurement for AI behavior: success metrics, test harnesses, golden datasets, regression suites, and guardrails (quality, safety, privacy); - Work with real data to validate outputs, quantify impact, and iterate quickly based on evidence; - Collaborate cross-functionally with Product and Engineering to ship high-quality solutions and to upstream reusable components; - Create leverage by turning one-off solutions into repeatable playbooks, reference architectures, templates, and internal tooling; - Be the voice of the field: bring back concrete customer needs, edge cases, and constraints that should shape product strategy. Practicals Team: Remote Build / Customer Engineering (or equivalent) Location: Remote Time zones: Ability to overlap with customer working hours as needed Travel: Whilst the majority of the work is Remote, please expect around 10% of travel for customer engagements Start date: As soon as possible Application process Recruiter screen Hiring Manager interview Technical challenge Team interview Bar Raiser interview  Executive interview  Offer + Prior employment verification check