Forward Deployed Engineer
Listed on 2026-01-12
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IT/Tech
Systems Engineer, Cloud Computing
At Rely Health, we leverage a comprehensive suite of technology tools to ensure every patient receives personalized support throughout their healthcare journey. Our patient care navigators utilize advanced AI‑driven solutions, multi‑channel communication platforms, and real‑time data analytics to provide high‑quality, cost‑effective, and accessible care to diverse communities across the United States.
By combining human empathy with cutting‑edge technology, Rely Health ensures comprehensive, efficient, and accessible care navigation for all patients, regardless of their location or circumstances. Our solution not only reduces worry and frustration for patients and their families but also improves overall health outcomes and reduces the total cost of care.
About the role
- The Forward‑Deployed Engineer (FDE) is a customer‑proximate, outcomes‑driven individual contributor who makes Rely’s programs work end‑to‑end in the real world. This role sits at the intersection of engineering, product, and operations and is “navigator‑based”: you work closely with navigators and ops, and collaborate directly with customers and Sales/AM to ensure we deliver outcomes.
This role is not static. Tools and platforms evolve month‑to‑month as we adopt vendors, build internal systems, and improve the stack. Success requires comfort learning new tools quickly while maintaining a high bar for quality, reliability, and delivery.
Important note:what “engineering” means here
This is not a backend production engineering role.
- You will build internal tools, scripts, workflow configurations, dashboards, and prototypes (often using AI‑assisted / low‑code tooling).
- You will not be asked to own production backend services.
- Configure and evolve workflows that power navigator execution: routing, task creation, campaigns, automation, and program logic.
- Partner with Product/Ops to ensure workflow configuration reflects real operations and reduces failure modes.
- Build internal helpers/tools that make workflows easier to operate and safer to change.
- Build and maintain agent workflows that handle operational tasks end‑to‑end: tool use, guardrails, escalation paths, and failure handling.
- Shadow real workflows, identify friction, and ship improvements that reduce manual work and increase closure.
- Maintain reusable components/templates so we don’t rebuild one‑offs for every customer.
- Build and iterate automated agents that interact with patients/customers (voice, messaging, or other channels as needed).
- Ensure behavior is operationally correct (right intent, right routing, right follow‑ups) and measurable.
- Follow quality gates/playbooks for customer‑facing automation (testing/evals, rollout/rollback, post‑deploy verification).
- Identify where outcomes break by learning the customer’s real operations and constraints.
- Partner with Sales/AM and customer stakeholders to move customers to the next level (new workflows, higher volume, broader scope, deeper adoption) by shipping what’s needed to make it real.
- Turn early signals into concrete pilots with tight scope, measurable success criteria, and clear timelines.
- Convert repeated customer needs into scalable patterns (templates, components, playbooks) so we scale beyond one account.
- Push viable solutions into production quickly: small increments, clear ownership, and verifiable results.
- Create/upgrade the right proof for changes: simulations, structured reviews, eval sets, regression checks, audit queries, dashboards, or other validation mechanisms.
- Do the necessary research (artifacts, logs, customer workflows, tool capabilities) to choose the right approach and avoid rework.
- Write short runbooks, checklists, and “how this works” docs so we don’t relearn the same lessons.
- Pair with teammates, share patterns/pitfalls, and contribute to a…
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