Lead, Forward Deployed Engineer

SARAWAK ARTIFICIAL INTELLIGENCE CENTRE SDN BHD; Kuching; On-site; MYR 150,000 - 210,000; Full time

Job summary

SARAWAK ARTIFICIAL INTELLIGENCE CENTRE SDN BHD is seeking a seasoned AI engineer to plan and direct Forward Deployed Engineers across multiple, concurrent projects. You will allocate tasks, sequence dependencies, and monitor delivery against schedule and cost, while running technical discovery with client stakeholders to translate requirements into a practical solution architecture.

You will architect end-to-end generative AI solutions covering LLM training, deployment, and RAG workflows, and

Qualifications

• Minimum Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3-5 years in an AI-focused role.

Responsibilities

• Plan and direct the work of Forward Deployed Engineers across concurrent projects: allocating tasks, sequencing dependencies, and tracking delivery against schedule and cost.
• Run technical discovery with client stakeholders and convert it into a solution architecture your engineers can build against
• Architect end-to-end generative AI solutions covering LLM training, deployment, and RAG workflows
• Build and optimise scalable infrastructure and pipelines for AI training, inference, and experimentation
• Own technical decisions and risk within scope, escalating platform-level trade-offs to the Forward Deployed Architect
• Embed proactive monitoring, access controls, authentication, and encryption into production AI systems
• Mentor engineers through code and design review, pairing, and structured feedback, and lead knowledge-sharing across the team
• Lead or co-author at least one Q1/Q2 journal paper each year, and help your engineers turn delivery insight into publishable work
• Advanced proficiency in Python and at least one systems language (C++, Go, or Rust), with deep working knowledge of ML/AI frameworks such as PyTorch and TensorFlow and of agentic orchestration tooling
• Experience with microservices, container orchestration (Kubernetes, Docker), and cloud platforms for large-scale training and inference workloads
• Experience deploying and maintaining large-scale HPC/AI clusters, including GPU hardware and software (DGX, CUDA, InfiniBand or RoCE)
• Strong Linux, networking, and OS-level security fundamentals, plus CI/CD tooling such as GitLab, GitHub Actions, or Jenkins
• Demonstrated experience leading small AI or software project teams in a global, multicultural environment
• Hands-on agile delivery: sprint planning, estimation, backlog prioritisation, and delivery tracking
• Practical experience building or fine-tuning large language models and generative AI systems, and the judgement to know when fine-tuning is not the right answer
• The judgement to know when a client requirement should be pushed back on rather than built
• Minimum Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with 3–5 years in an AI-focused role.

Skills

Python

Systems languages (C++, Go, or Rust)

ML/AI frameworks (PyTorch, TensorFlow)

Kubernetes

Docker

Cloud platforms

Linux/OS security fundamentals

CI/CD (GitLab/GitHub Actions/Jenkins)

Team leadership

Agile delivery

Fine-tuning LLMs / Generative AI

Education

Bachelor's or Master's in CS/AI/ML or related

3–5 years in AI-focused role

Tools

Kubernetes

Docker

GitLab

GitHub Actions

Jenkins

DeepSpeed

Megatron

Ray

Job description

SARAWAK ARTIFICIAL INTELLIGENCE CENTRE SDN BHD

Plan and direct the work of Forward Deployed Engineers across concurrent projects: allocating tasks, sequencing dependencies, and tracking delivery against schedule and cost

Run technical discovery with client stakeholders and convert it into a solution architecture your engineers can build against

Architect end-to-end generative AI solutions covering LLM training, deployment, and RAG workflows

Build and optimise scalable infrastructure and pipelines for AI training, inference, and experimentation

Own technical decisions and risk within scope, escalating platform-level trade-offs to the Forward Deployed Architect

Embed proactive monitoring, access controls, authentication, and encryption into production AI systems

Mentor engineers through code and design review, pairing, and structured feedback, and lead knowledge-sharing across the team

Lead or co-author at least one Q1/Q2 journal paper each year, and help your engineers turn delivery insight into publishable work

What You Will Bring

Advanced proficiency in Python and at least one systems language (C++, Go, or Rust), with deep working knowledge of ML/AI frameworks such as PyTorch and TensorFlow and of agentic orchestration tooling

Experience with microservices, container orchestration (Kubernetes, Docker), and cloud platforms for large-scale training and inference workloads

Experience deploying and maintaining large-scale HPC/AI clusters, including GPU hardware and software (DGX, CUDA, InfiniBand or RoCE)

Strong Linux, networking, and OS-level security fundamentals, plus CI/CD tooling such as GitLab, GitHub Actions, or Jenkins

Demonstrated experience leading small AI or software project teams in a global, multicultural environment

Hands-on agile delivery: sprint planning, estimation, backlog prioritisation, and delivery tracking

Practical experience building or fine-tuning large language models and generative AI systems, and the judgement to know when fine-tuning is not the right answer

The judgement to know when a client requirement should be pushed back on rather than built

Qualifications

Minimum Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with 3–5 years in an AI-focused role.

Nice to Have

Experience delivering into regulated or security-reviewed client environments, including data residency and audit requirements; distributed training frameworks including but not limited to DeepSpeed, Megatron, or Ray; experience scoping and estimating new work alongside a business development team; formal mentoring or line management experience.