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Open nowPosted today

Artificial Intelligence Governance Product Engineer (AI Product Engineer)

MyCareersFuture95,505 open roles

Pay
SGD 11,000 – SGD 13,000 a Monthly
Where
Singapore
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Your applicationOpen nowArtificial Intelligence Governance Product Engineer (AI Product Engineer)MyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

10.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 8 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.0%3 days
  3. 10.1%7 days
  4. 15.8%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 8 days open

The posting

Join UST Prism, our AI Governance platform and help build the next generation of secure, enterprise-ready AI solutions.

What You'll Do

  • Own the architecture and core development of the platform
  • Build AI, LLM, and agent-based capabilities
  • Design and deliver end-to-end product experiences
  • Develop integrations with enterprise systems and data sources
  • Drive cloud and on-premise deployments
  • Implement enterprise-grade security and IAM
  • Partner with customers on technical implementations
  • Collaborate with Product Leadership to shape product strategy and roadmap

Why Join Us

  • Build a market-defining AI Governance product
  • Work at the intersection of AI, compliance, and enterprise technology.
  • High-impact role with significant ownership and technical leadership

What We're Looking For

  • 10+ years of hands-on software engineering experience
  • 5-8 years in enterprise software/product engineering
  • 3-5+ years working with AI/ML, Generative AI, LLMs, or AI platforms
  • Strong experience in solution architecture and full-stack product development
  • Hands-on cloud deployment experience (Azure, AWS, GCP) and security/IAM
  • Experience leading technical implementations with enterprise customers
  • Deep knowledge of APIs, integrations, security, and IAM
  • Ability to operate independently and drive technical decisions
  • Experience working with enterprise customers and complex business environments

AI Governance, Cloud Infrastructure, Agentic AI, AI/ML, Generative AI, LLMs, AI platforms, AI solution architecture, cloud deployment, security, IAM

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