Lead Platform Engineer

Trust is the first of a new breed of banks in Singapore – digitally native and focused on delivering a delightful customer experience.  You will work in a fast-paced and collaborative environment to solve new and interesting challenges each day. Together with our Trust team, you will help shape the future of our bank.

As a Lead Platform Engineer you’ll design, build and operate the GenAI Platform Services that will support AI use-cases across the bank.

Key responsibilities

Build and operate GenAI Platform Services  across key service groups the platform is organised around. For example:

·       Orchestration  — Agent Runtime, Workflow Orchestration, Tool Calling, Agent Identity.

·       Evaluation  — Online Evaluation, Offline Evaluations, Red Teaming, A/B Experimentation.

·       Model Gateway & Registry  — Model Gateway, Cost Metering, Agent Registry.

·       RAG & Memory  — Embedding Pipeline, Vector Store, Short-Term Memory, Long-Term Memory.

Provide paved-road build and release tooling  so that agents, prompts, evals and models are built, versioned, tested and promoted through a single "golden path".

Gate every release on evaluation.  Build capabilities to enable offline evaluations and LLM-graded evals, red-team suites and A/B experimentation into the release pipeline as enforced quality gates — no capability reaches production without passing them.

Build automated governance controls into the platform  Support in implementing common capabilities to enable guardrails / monitoring, access control, audit logging and Model Risk Management as default behaviours of the platform primitives.

Enable the FDE and AI Operations teams  with SDKs, templates, documentation and reference implementations, and fold their production learnings back into the platform roadmap.

Required skills & experience

• 10+ years of software engineering background with production ownership of platform, infrastructure or developer-tooling services.

• Experienced in Cloud Native technologies such as - AWS, Kubernetes, terraform

• Hands-on CI/CD and build-system experience: reproducible builds,artifact registries, promotion/rollback, policy-as-code gates.

• A  platform-as-a-product  mindset— you build for internal consumers and measure adoption, lead time and reliability, not lines of code.

• Comfort working in a regulated environment where security, governance, auditability and risk management are non-negotiable.

Role Specific Technical Competencies

• Experience with cloud GPU/inference serving and auto-scaled model hosting.

• Exposure to financial-services and banking and AI governance/guardrail tooling.

• Experience building self-service developer platforms or "golden paths" adopted by other teams.

• Familiarity with GenAI / LLM building blocks: model gateways / routing, RAG and vector stores, agent/tool orchestration, and evaluation (offline evals, red teaming, A/B testing).

If you apply for a job with Trust or submit any personal information in connection with a possible job opportunity, you agree to our privacy notice for job applicants.

Come as you are! Trust is an inclusive and open-minded workplace. If you are good at what you do and care about doing a good job, that’s what we focus and want from you.  So come as you are. 😊

Trust is an equal opportunity employer. We prohibit discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Trust are based on business needs, job requirements and individual qualifications, without regard to age, gender, physical ability, race, religion or belief, family or parental status, sexuality, or any other status protected by laws or regulations. We will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.