Senior Software Engineer

Alliance Bank Malaysia Berhad

Kuala Lumpur

On-site

MYR 240,000 - 480,000

Full time

3 days ago
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Job summary

Alliance Bank Malaysia Berhad is seeking a Delivery & Platform Architect within the Innovation Lab to drive the enterprise AI platform transformation. You will own integration patterns, API specs, and secure interfaces, ensuring scalable onboarding for internal and vendor-built solutions.

You will lead governance readiness, risk oversight, and production handover from pilot to scale, while shaping investment cases with accuracy in technical scope and costs.

Qualifications

  • 5–8 years spanning delivery leadership, digital transformation, or technical program management.
  • Experience owning technical solutions from MVP/pilot to production-scale deployment in regulated environments.
  • Experience coordinating vendor relationships and RFI/RFP processes for fintech or AI/automation solutions.
  • Connective role between business stakeholders, engineering teams, and governance bodies in fast-moving environments.

Responsibilities

  • Own the platform's integration strategy end-to-end, translating objectives into patterns, APIs, and interfaces.
  • Shape AI adoption across the bank by defining onboarding for agents, bots, and AI services.
  • Lead technical evaluations in market scans and RFI/RFPs with governance and cost considerations.
  • Translate policy into practice with risk/compliance to embed controls and audit readiness.

Skills

Delivery leadership
Stakeholder management
Platform architecture
Vendor coordination
RFI/RFP process
Cloud-native architecture
DevSecOps
Governance & risk
Communication
Agile / Lean

Tools

REST APIs
CI/CD
Cloud platforms

Job description

Drive the enterprise AI platform's transformation agenda — turning strategic intent into a platform that internal teams and vendors can build on with confidence.

Delivery & Stakeholder Management

Act as the technical owner inside the Innovation Lab — the person business stakeholders, vendors, and engineers all rely on to keep MVPs moving from idea to working prototype.

  • Own the platform's integration strategy end-to-end — translate business and regulatory objectives into integration patterns, API specifications, and service interfaces that let internal and vendor-built solutions plug into the platform consistently and securely.
  • Shape how AI capability gets adopted across the bank — define the onboarding pathway for new agents, bots, and AI services, whether built internally or delivered by external vendors, so adoption scales without creating fragmentation.
  • Lead technical evaluation within market scans and RFI/RFP processes — assess vendor and fintech solutions for integration complexity, scalability, and fit against the transformation roadmap, partnering with the Innovation/AIC team on business and cost evaluation.
  • Translate policy into practice — work with Risk/Compliance to convert enterprise AI governance policy into enforceable technical controls embedded in the platform, keeping the platform audit-ready as regulation evolves.
Governance & Risk Oversight

Keep leadership and governance bodies ahead of delivery risk — no surprises at checkpoints, no last‑minute scrambles before scale-up.

  • Maintain a live view of progress across all active MVPs — track delivery status, integration blockers, and technical risk against timelines, and elevate early to the CTO and relevant stakeholders.
  • Own governance checkpoint readiness — ensure MVPs arrive at AIC governance reviews with the architecture, documentation, and controls already in place, so checkpoints move at the pace of the business, not the paperwork.
  • Push back where the plan doesn't hold — flag technical or delivery risk candidly, and challenge scope or timelines when the underlying design won't support them.
Production Readiness & Business Case Ownership

Own the handover from pilot to production, and make sure the business case that follows is built on accurate technical ground.

  • Prepare MVPs for enterprise rollout — produce the documentation, integration specifications, and runbooks needed for a clean handover from pilot to production‑scale deployment.
  • Inform the investment case — supply accurate technical scope, infrastructure, and integration cost estimates to support post‑MVP business cases led by the Innovation Hub.
Architecture Oversight (Technical Foundation)

The credibility behind the role: enough hands‑on architecture depth to earn trust from engineers and challenge vendors, even though the day‑to‑day is business‑and delivery‑facing.

  • Cloud‑native architecture and integration patterns — REST, event‑driven, and protocol‑based integrations (e.g. MCP/function‑calling equivalents), applied well enough to sanity‑check designs, not necessarily to build them personally.
  • AI/ML system literacy — working knowledge of where LLMs, smaller/specialized models, RPA, and agentic workflows fit architecturally, enough to evaluate vendor claims critically.
  • Regulated‑industry data governance — understanding of data governance, access control, and audit requirements, enough to know what 'good' looks like when reviewing vendor and internal designs.
  • DevSecOps fluency — familiarity with embedding security and compliance controls within CI/CD and platform pipelines, sufficient to hold delivery teams to the standard.
Qualifications
Experience
  • 5–8 years spanning delivery leadership, digital transformation, or technical program management, with a solution architecture or platform engineering background — someone who has moved from hands‑on technical work into a broader delivery/transformation remit.
  • Demonstrated ownership of getting a technical solution from MVP/pilot through to production‑scale deployment, in a regulated or enterprise environment.
  • Experience managing or coordinating vendor relationships and RFI/RFP processes, including technical evaluation of fintech or AI/automation solutions.
  • Track record operating as the connective layer between business stakeholders, engineering teams, and governance bodies in a fast‑moving innovation or Agile Lab environment.
Skills & Attributes
  • Strong program and stakeholder management instincts — comfortable driving a delivery cadence, managing competing priorities, and keeping multiple workstreams visible without close supervision.
  • Credible technical foundation — able to speak architecture fluently with engineers and vendors, even if not writing the specifications personally day‑to‑day.
  • Strong written and verbal communicator — able to produce governance‑ready documentation and translate technical risk into business language for leadership.
  • Comfortable operating with ambiguity and pace — able to act as technical/delivery owner inside an innovation environment without requiring detailed direction.
  • Effective across functions — works well with Risk/Compliance, Innovation/AIC, external vendors, and engineering, and can flex communication style across all four.
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