Lead Platform Engineer

Trustbank; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Trust is seeking a Lead Platform Engineer to design, build and operate GenAI Platform Services that support AI use-cases across the bank. You will drive orchestration, evaluation, and model governance while ensuring a reliable golden path for internal teams.

Join a fast-paced, collaborative environment focused on security, compliance and scalable AI platforms. You will enable self-service tooling for engineers and contribute to a regulated, enterprise-grade GenAI platform.

Qualifications

• 10+ years of software engineering background with production ownership of platform or developer-tooling services.
• Experience in Cloud Native technologies such as AWS, Kubernetes and Terraform.
• Hands-on CI/CD and build-system experience with reproducible builds, artifact registries and policy-as-code gates.
• Platform-as-a-product mindset— build for internal consumers and measure adoption, lead time and reliability.

Responsibilities

• Build and operate GenAI Platform Services across key service groups (Orchestration, Evaluation, Model Gateway & Registry, RAG & Memory).
• Provide paved-road build and release tooling to ensure a single golden path from development to production.
• Gate every release on evaluation with offline evals, red-team suites and A/B experimentation.
• Implement governance controls for guardrails, access logging and Model Risk Management.

Skills

Platform ownership

Cloud native

CI/CD

Security governance

Tools

AWS

Kubernetes

Terraform

Job description

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.
• Aplatform-as-a-productmindset— 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).

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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.