AI Platform Lead: End-to-End LLM, MLOps on AWS

SINGAPORE LIFE LTD.

Singapore

On-site

SGD 90,000 - 150,000

Full time

10 days ago
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Job summary

Singlife is seeking an AI Engineering Lead to own end-to-end engineering of all AI solutions on AWS, including Generative AI, RAG, and document intelligence. You will architect, review, and guide implementation, ensuring secure, scalable, reusable AI components and adherence to enterprise standards.

You will collaborate with Enterprise Architects, Cloud Architects and Data Science teams to deliver production-ready AI capabilities, driving cost awareness and platform excellence.

Responsibilities

  • Own the technical solution design for all AI use cases from intake through production.
  • Define how AI solutions are built, tested, deployed, governed and operated on AWS.
  • Lead the engineering team, review implementations, and oversee vendor AI solutions.
  • Establish production-grade engineering discipline and reusable components library.

Skills

AI Platform Leadership
Cloud Architecture
MLOps / LLMOps

Tools

Bedrock
SageMaker
Textract
Comprehend
OpenSearch
Step Functions

Job description

Singlife is seeking an AI Engineering Lead to own end-to-end engineering of all AI solutions on AWS, including Generative AI, RAG, and document intelligence. You will architect, review, and guide implementation, ensuring secure, scalable, reusable AI components and adherence to enterprise standards.

You will collaborate with Enterprise Architects, Cloud Architects and Data Science teams to deliver production-ready AI capabilities, driving cost awareness and platform excellence.

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