AI Platform Lead: Multi-Agent & GenAI on AWS

JOBSTER PRIVATE LTD.

Singapore

On-site

SGD 180,000 - 300,000

Full time

8 days ago

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Job summary

JOBSTER PRIVATE LTD. in Singapore seeks an experienced AI Lead to define and drive Agentic AI and Generative AI strategy on AWS. You will lead a team of AI engineers, architect multi-agent solutions, and govern responsible AI practices.

You'll own delivery, mentor engineers, align with security, legal and compliance, and engage stakeholders to translate use cases into roadmaps, balancing innovation with governance and cost/performance optimization.

Qualifications

  • 10+ years in software engineering, data or AI/ML.
  • 3+ years leading technical teams.
  • 2+ years hands-on Generative AI with multi-agent systems.
  • Proven track record delivering LLM/agent solutions to production in enterprises.
  • Strong knowledge of AWS Bedrock and Guardrails.

Responsibilities

  • Define the enterprise Agentic AI vision and roadmap on AWS.
  • Lead and mentor AI developers, ML engineers and prompt/agent engineers.
  • Architect multi-agent solutions including planning, tool use, memory, orchestration, human-in-the-loop workflows.
  • Evaluate and optimize foundation models on Bedrock (Claude, Nova, Llama, Mistral).
  • Establish governance with Bedrock Guardrails and AI safety patterns.
  • Drive Bedrock AgentCore adoption for secure, scalable agent deployments.
  • Define evaluation frameworks for agents and LLM apps; establish LLMOps/AgentOps practices.
  • Engage security, risk, legal and compliance to meet regulatory and privacy requirements.
  • Translate business use cases into delivery plans and roadmaps.

Skills

Leadership
AI/ML
Python
AWS
Delivery management
Stakeholder comms

Education

Degree in Computer Science or related field

Tools

Amazon Bedrock
Bedrock AgentCore
LangChain
LangGraph
CrewAI
AutoGen
Strands Agents
OpenSearch
Aurora pgvector

Job description

JOBSTER PRIVATE LTD. in Singapore seeks an experienced AI Lead to define and drive Agentic AI and Generative AI strategy on AWS. You will lead a team of AI engineers, architect multi-agent solutions, and govern responsible AI practices.

You'll own delivery, mentor engineers, align with security, legal and compliance, and engage stakeholders to translate use cases into roadmaps, balancing innovation with governance and cost/performance optimization.

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