AI Business Platform (Core & Front End)

PT XLSMART Telecom Sejahtera Tbk

Jakarta Pusat

On-site

IDR 350,000,000 - 700,000,000

Full time

11 hours ago
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Job summary

PT XLSMART Telecom Sejahtera Tbk is seeking a senior Platform Architect to own end-to-end AI Business platform architecture, from frontend to core gateway and metering, ensuring vendor work meets performance, security and PDP obligations.

You will define non-functional requirements, drive telemetry and AI benchmarking, govern vendor delivery and SLAs, and promote AI-first engineering practices across the team.

Qualifications

  • 6–8 years in platform, backend or full-stack engineering, incl. 2–3 years on production AI or LLM systems and owning vendor-delivered architecture.
  • Certification: TOGAF, Alibaba Cloud Professional or equivalent, Agile Development, android / iOS development.

Responsibilities

  • Own target and release architecture end to end: front end, AI gateway, orchestration, routing, guardrails.
  • Set non-functional requirements, acceptance criteria and test evidence, and hold vendor technical sign-off.
  • Own the AI interaction layer: response streaming, first-token latency, fallback states, accessibility.
  • Instrument front-end telemetry for activation and funnel.
  • Own model benchmarking for quality, latency and cost per token, and evidence routing decisions.
  • Own interfaces to metering, credit, entitlement, BSS, the XLS ecosystem and third-party AI app partners.
  • Enforce residency, consent and AI disclosure under PDP Law, and preserve model and vendor portability.
  • Govern vendor delivery, SLA, capacity and roadmap, and apply AI first engineering practice in the team.

Skills

Platform engineering
Backend engineering
Full-stack engineering
Production AI systems
Vendor management
Architectural ownership

Education

TOGAF certification
Alibaba Cloud Professional
Agile Development
Android / iOS development

Tools

CI/CD pipelines
Kubernetes
Terraform

Job description

To own the architecture, acceptance and operational integrity of the AI Business platform end to end, from customer-facing front ends to core gateway, orchestration, routing and metering, ensuring vendor-delivered work meets XLSmart performance, cost, security and PDP obligations.

Main Responsibilities:
  • Own target and release architecture end to end: front end, AI gateway, orchestration, routing, guardrails.
  • Set non-functional requirements, acceptance criteria and test evidence, and hold vendor technical sign-off.
  • Own the AI interaction layer: response streaming, first-token latency, fallback states, accessibility.
  • Instrument front-end telemetry for activation and funnel.
  • Own model benchmarking for quality, latency and cost per token, and evidence routing decisions.
  • Own interfaces to metering, credit, entitlement, BSS, the XLS ecosystem and third-party AI app partners.
  • Enforce residency, consent and AI disclosure under PDP Law, and preserve model and vendor portability.
  • Govern vendor delivery, SLA, capacity and roadmap, and apply AI first engineering practice in the team.
Requirements:
  • Min. 6-8 years in platform, backend or full-stack engineering, incl. 2-3 years on production AI or LLM systems and owning vendor-delivered architecture.
  • Certification: Opt: TOGAF, Alibaba Cloud Professional or equivalent, Agile Development, android / iOS development
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