Senior Principal Engineer, Platform & AI Transformation (Business Ecosystem at Kudo

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, AI/ML Systems, Engineering Culture, Senior Leadership Influence, Architectural Change, Platform Evolution, Reliability Engineering, Search Systems, Transaction Systems, LLM Agents, Chaos Engineering, System Design, Ecosystem Coherence

Industry

Software Development

Description

Company Description About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Job Description Get to Know the Team We are a SuperApp operating at massive scale across transport, food, commerce, ads, merchant platforms, and enterprise services. Within this ecosystem, BECO (Business Ecosystem) powers the foundational platforms that connect merchants, consumers, ads, transactions, search, and intelligence. We are now entering our next phase: Embed G/AI into the engineering nervous system Raise reliability to utility-grade standards Unify siloed platforms into a cohesive ecosystem Accelerate new businesses with AI-native architecture Get to Know the Role To do this, we are hiring a Senior Principal Engineer — a rare, high-leverage individual contributor who will shape the technical trajectory of a 300+ engineer organisation. You will report directly to the Head of BECO Engineering. Most Principal roles influence a team. Some influence a domain. You will influence an entire engineering organisation. You will operate across five major departments spanning: 1). Merchant platforms, 2). Search & Personalisation, 3). Ads & Monetisation, 4). Transaction systems, 5). Enterprise capabilities You are not here to oversee a microservice. You are here to evolve the system. The Critical Tasks You Will Perform 1. Turn AI Into Engineering Leverage We are moving beyond "AI demos." You will help architect and scale: AI-assisted development workflows Agentic operational automation Reliability guardrails powered by AI Safe, test-backed automation systems The goal is measurable improvement in: Engineering velocity Code quality Operational efficiency You will shape how AI becomes embedded into how engineers work — not as a tool, but as infrastructure. 2. Build Reliability That Feels Invisible We believe reliability should feel like running water — always there, never noticed. You will: Raise prevention standards across critical systems Institutionalise chaos engineering as discipline Strengthen detection and recovery mechanisms Reduce incident impact structurally, not reactively This is about engineering maturity at scale. 3. Break Platform Silos Search, Ads, Promo, Transactions, and Data — today these evolve in parallel. We are building a unified ecosystem where: Ranking frameworks converge User understanding powers multiple surfaces Data infrastructure reduces cost and instability Shared capabilities unlock new business models You will design the connective tissue that makes platformisation real. 4. Architect for Pattern-Breaking Growth We are launching new businesses in e-commerce, AI agents, conversational transactions, and gamified engagement experiences. The challenge: Move fast without creating tomorrow's technical debt. You will: Design clean 0→1 foundations Define execution models optimised for velocity Enable AI-native product experiences Balance exploration with ecosystem coherence Qualifications What Essential Skills You Will Need You are a rare combination of: Deep distributed systems thinker Fluent in AI/ML system realities Opinionated about engineering culture Comfortable influencing senior leaders You likely have: Operated at Staff+/Principal level in large-scale systems Driven cross-organisation architectural change Built or evolved platforms used by millions Touched reliability, search, ML, or transaction-heavy systems You care about leverage. You care about second-order effects. You care about building systems that outlast you. The Kind of Problems You'll Solve How do we embed LLM agents safely into engineering workflows at scale? How do we raise reliability standards without slowing innovation? When do we centralise vs federate capabilities across domains? How do we unify ranking and recall systems across monetised and organic surfaces? How do we launch new AI-native businesses without fracturing the ecosystem? These are not ticket-level problems. They are system-shaping decisions. What Success Looks Like (12–18 Months) AI-assisted engineering is a daily reality, not a pilot Reliability metrics trend structurally stronger Cross-platform capabilities converge At least one new business launches on a clean, scalable foundation Engineering quality becomes institutionalised Additional Information Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges. Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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Responsibilities

This role involves shaping the technical trajectory of a large engineering organization by embedding Generative AI into workflows, raising reliability to utility-grade standards, and unifying siloed platforms into a cohesive ecosystem. Key tasks include architecting AI-assisted development, institutionalizing chaos engineering, and designing connective tissue for platform convergence.