Lead AI Engineer: Agentic AI for Networking

DBS Bank Ltd

Singapore

On-site

SGD 180,000 - 280,000

Full time

5 days ago
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Job summary

DBS Bank Ltd invites an experienced Lead AI Engineer to drive agentic AI initiatives across networking infrastructure in Singapore. You will lead a team to design, build, and optimize AI-powered networks, focusing on RAG workflows, LLM orchestration, and agentic agents that deliver measurable business value.

The role requires deep expertise in Python, AI frameworks, DevOps for AI/MLOps, and cross-platform development on Unix/Windows.

Qualifications

  • Proven track record in scalable AI apps with agentic AI.
  • Strong Python proficiency and agentic AI system design.
  • Experience with LLM orchestration, vector DBs, and prompts.
  • Leadership experience guiding technical teams.
  • Experience with DevOps for AI and MLOps.
  • Strategic vision for applying AI to networking.
  • Cross-platform development on Unix and Windows.
  • Excellent problem-solving and attention to detail.

Responsibilities

  • Lead agentic AI solution development for networking.
  • Architect and optimize RAG workflows for network use cases.
  • Collaborate with networking teams to align AI initiatives.
  • Provide technical leadership and mentorship to AI engineers.
  • Set governance, monitoring, and performance standards for network AI.
  • Stay ahead of agentic AI trends in networking.
  • Troubleshoot AI issues in network environments.

Skills

Python
Agentic AI
LLM orchestration
RAG systems
Vector databases
Prompt engineering
AI frameworks
MLOps
CI/CD
Leadership

Tools

Unix
Windows
CI/CD

Job description

DBS Bank Ltd invites an experienced Lead AI Engineer to drive agentic AI initiatives across networking infrastructure in Singapore. You will lead a team to design, build, and optimize AI-powered networks, focusing on RAG workflows, LLM orchestration, and agentic agents that deliver measurable business value.

The role requires deep expertise in Python, AI frameworks, DevOps for AI/MLOps, and cross-platform development on Unix/Windows.

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