AI Forward Deployed Engineer (AI-FDE)
Sapiens
Удалённая работа
- Местоположение
- Remote (United States)
- График
- Full Time
- Опубликовано
- 17 окт. 2026 г.
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Описание вакансии
Интерфейс на русском языке. Названия и описания вакансий сохраняются на языке публикации работодателя, в том числе на английском.
Sapiens has something truly unique. Over 40 years, we’ve built deep insurance expertise that no-one else can replicate. Combined with the power of SapiensAIP that knowledge gives us an extraordinary opportunity to transform how insurance works, and to help build the autonomous insurer of tomorrow.
This is where Advance the Possible comes in. It isn’t a programme or a new strategy. It’s our DNA. It’s about how we think, work and challenge ourselves every day. It means moving with greater urgency, questioning old ways of working and creating better outcomes for our customers. Go to to find out more.
Come and join us now!
Purpose:
Turn ambiguous customer problems into production AI capability, fast, as the technical half of the Value FDE and AI-FDE pair.Job Responsibilities
Ship a working capability against the live backlog in the first week where feasible, then iterate.
Own the build end to end: model real data and process, design agentic workflows, integrate, evaluate, release.
Build close to the people who operate the process; no requirements hand-off.
Meet the Minimum Viable Autonomy bar (evaluation, observability, escalation, controls) before production.
Reuse and compose existing AIP and agent capabilities; feed proven patterns to the catalogue and R&D.
Leave the customer able to run, monitor and adjust what has been built.
Partners one-to-one with the Value FDE. BVDE and PDE are separate roles. Bengaluru engineers back 25 of the 80 pods.
How Success is judged:
Time to first working capability and time to production value.
Quality, safety, observability and reliability; customer adoption and independence.
Reuse harvested from field work; strength of the pair partnership.
Job Requirements
5+ years of software engineering; Python, Java, C++ or TypeScript; APIs and cloud.
Hands-on LLM or agentic workflows in production (retrieval, evaluation, tool use).
Engineer-diplomat with customer judgement; willing to travel to client sites.
Insurance systems: policy administration, claims, billing; or our platforms.
Data engineering, MLOps or security in regulated industries
Originally posted on Himalayas