Senior AI Engineer – GenAI, LLM & AWS MLOps Lead

Synapsys MY; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Job summary

Synapsys is hiring a Senior AI Engineer to support a leading insurance company in Malaysia. We are looking for a hands‑on engineer with strong AWS expertise who can design, build and deploy AI solutions into production, while providing technical direction throughout delivery. Experience: Minimum 5 years of relevant engineering experience.

Availability to work onsite near KLCC. The role requires hands-on experience with AWS SageMaker, Bedrock, Lambda and Step Functions, plus skills in GenAI, LLM

Qualifications

• Minimum 5 years of relevant engineering experience.
• Hands-on experience with AWS SageMaker, Bedrock, Lambda and Step Functions.
• Practical experience building GenAI, LLM and RAG applications.
• Experience with MLOps, Terraform and CI/CD.
• A proven record of delivering AI/ML solutions into production.
• Strong solution architecture and technical leadership capabilities.

Responsibilities

• Design, develop and deploy AI/ML solutions on AWS.
• Build generative AI and LLM applications, including retrieval-augmented generation (RAG).
• Develop Python services and integrate AI capabilities into business applications.
• Build and orchestrate solutions using AWS SageMaker, Bedrock, Lambda and Step Functions.
• Establish MLOps practices and CI/CD pipelines.
• Provide solution architecture guidance and technical leadership.
• Availability to work onsite near KLCC.

Skills

AWS SageMaker

AWS Bedrock

AWS Lambda

AWS Step Functions

Python

MLOps

CI/CD

Terraform

GenAI

LLM

RAG

Solution Architecture

Leadership

Tools

Terraform

Job description

Synapsys is hiring a Senior AI Engineer to support a leading insurance company in Malaysia. We are looking for a hands‑on engineer with strong AWS expertise who can design, build and deploy AI solutions into production, while providing technical direction throughout delivery. Experience: Minimum 5 years of relevant engineering experience.

Availability to work onsite near KLCC. The role requires hands-on experience with AWS SageMaker, Bedrock, Lambda and Step Functions, plus skills in GenAI, LLM