AI Forward Deployed Engineer (AI-FDE)

Sapiens; Singapore; On-site; SGD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive cash with 15% variable

Real production work with insurers

Leadership path

Job summary

Sapiens in Singapore is seeking a software engineer who turns ambiguous customer problems into production AI capability as the technical half of the Value FDE and AI-FDE pair. This role works in a cloud-native insurance context, delivering real, deployable capabilities rather than demos.

You will own the build end to end: model data and processes, design agentic workflows, integrate, evaluate, and release. Travel to client sites as needed and partner closely with the team to ensure

Qualifications

• 5+ years of software engineering in Python, Java, C++ or TypeScript with API and cloud experience.
• Hands-on LLM or agentic workflows in production.
• 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.
• Proven track record working for a Born-in-the-Cloud or Cloud-Native technology company — must have.

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.

Skills

Python

Java

C++

TypeScript

APIs

Cloud

LLM workflows

Agentic workflows

Customer judgement

Travel to client sites

Data engineering

MLOps

Security

Born-in-the-Cloud

Tools

Cloud platforms

Job description

Job Description

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.

Location: Singapore

PURPOSE

Turn ambiguous customer problems into production AI capability, fast, as the technical half of the Value FDE and AI-FDE pair.

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.
• Proven track record working for a Born-in-the-Cloud or Cloud-Native technology company — must have.

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 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.

Job Benefits

• Total target cash at the top quarter of the market, with 15% variable.
• Real production work with insurers, not demos, on a platform built for industry.
• A team that learns fast together, with a path to pod and regional leadership.