GenAI Forward-Deployed Engineering Lead

Google India; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Google in Singapore is seeking a Manager of a GenAI Forward Deployed Engineering (FDE) team to lead AI/ML engineers who bridge frontier AI products and production deployments within customer environments.

You will mentor your team, align with Product, Engineering and Google Cloud leadership, and help resolve data readiness, integration, and state-management challenges to deliver enterprise-grade AI outcomes at scale.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• 2 years of experience managing a software engineering or similar technical customer-facing team.
• Experience in Python or similar coding languages.
• Experience developing AI/GenAI solutions utilizing AI tools or designing multi-agent workflows or RAG systems.

Responsibilities

• Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
• Partner with Sales and Tech leadership to define requirements for high-value opportunities, deploying specialized experts to key accounts.
• Lead technical hiring for forward deployed engineering, evaluating AI/ML expertise and related skills to build an engineering squad.
• Identify skill gaps in emerging tech, ensuring the team maintains subject matter expertise in an evolving AI stack.
• Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps.

Skills

Cloud computing experience

Team management

Python or similar

AI/GenAI solutions

Education

Bachelor’s degree in Engineering/CS or related field

Master’s degree or PhD in AI or related field

Job description

Google in Singapore is seeking a Manager of a GenAI Forward Deployed Engineering (FDE) team to lead AI/ML engineers who bridge frontier AI products and production deployments within customer environments.

You will mentor your team, align with Product, Engineering and Google Cloud leadership, and help resolve data readiness, integration, and state-management challenges to deliver enterprise-grade AI outcomes at scale.