AI Delivery Lead, Forward-Deployed Engineering

ByteDance

Singapore

On-site

SGD 180,000 - 240,000

Full time

9 days ago

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Job summary

ByteDance in Singapore is seeking a Forward Deployed Engineer to lead AI application deployment in client environments, delivering production-grade solutions and guiding feature iteration.

You will manage a team of FDEs, design AI and cloud architectures, integrate client APIs, and build high-performance evaluation pipelines to ensure accuracy, safety, and latency. You will collaborate with client teams to ensure successful launches and long-term adoption.

Qualifications

  • Bachelor's degree in CS/engineering, math, or related field or equivalent hands-on experience.
  • 5+ years of client-facing technical architecture and delivery experience.
  • 2+ years of technical team management experience.
  • Experience with AI applications (prompt engineering, fine-tuning, RAG, agent development) and cloud-based architectures.

Responsibilities

  • Develop understanding of client scenarios; lead FDEs to build/validate AI prototypes and production-grade deployments.
  • Lead FDEs in AI/cloud architectures and integration with client APIs and data systems with security compliance.
  • Build high-performance evaluation pipelines and observability for agent systems; ensure accuracy, safety, latency.
  • Identify reusable patterns, translate into product feature requests, drive development.
  • Collaborate with client engineering teams to ensure successful launches, long-term success, and adoption of AI applications.

Skills

Client-facing leadership
Technical architecture
Team management
AI applications experience
Cloud architectures

Education

Bachelor's degree in CS/Engineering or equivalent
Master's or PhD (preferred)

Tools

LangGraph
CrewAI

Job description

ByteDance in Singapore is seeking a Forward Deployed Engineer to lead AI application deployment in client environments, delivering production-grade solutions and guiding feature iteration.

You will manage a team of FDEs, design AI and cloud architectures, integrate client APIs, and build high-performance evaluation pipelines to ensure accuracy, safety, and latency. You will collaborate with client teams to ensure successful launches and long-term adoption.

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