Lead AI Engineer

Hewlett Packard Enterprise Software; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Career development programs

Inclusive work environment

Job summary

Hewlett Packard Enterprise Software in Singapore is looking for a Lead AI Engineer to drive the design, development, and deployment of AI/ML-powered applications. This role requires hands-on experience in building scalable AI solutions while mentoring a team of developers.

The ideal candidate should possess a Bachelor's or Master's degree in Computer Science or a related field, along with significant experience in AI/ML, Kubernetes, and cloud platforms. The position emphasizes team collaboration and a commitment to delivering high-quality software solutions.

Qualifications

• 8–10 years of hands-on experience in software engineering with a focus on AI/ML.
• Expertise in Kubernetes for container orchestration.
• Strong programming skills in Python and familiarity with FastAPI or Flask.

Responsibilities

• Design, develop, and deploy AI/ML applications and microservices.
• Lead a team of AI/ML engineers, conducting code reviews.
• Continuously evaluate and adopt emerging AI tools and technologies.

Skills

AI/ML application development

Kubernetes

Cloud platforms (Azure, AWS, GCP)

Python

CI/CD pipelines

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

MLflow

Kubeflow

Docker

Jenkins

Job description

This role has been designed as “Onsite” with an expectation that you will primarily work from an HPE office.

Job Title

Lead AI Engineer

Role Overview

We are looking for an experienced Lead AI Engineer to drive the design, development, and deployment of AI/ML-powered applications. Candidate should have strong hands‑on experience in application development, lead and mentor a team of AI/ML developers, define best practices, and deliver scalable, production grade AI solutions aligned with business goals.

Key Responsibilities

• Design, develop, and deploy AI/ML applications, microservices, and APIs on Kubernetes‑based infrastructure, ensuring scalability, reliability, and performance across development, staging, and production environments.
• Build and maintain end‑to‑end AI/ML pipelines covering deployment, monitoring, versioning, and continuous improvement using modern MLOps/AIOps tools and practices.
• Lead and mentor a team of AI/ML engineers, conduct code reviews, and define best practices.
• Continuously evaluate and adopt emerging AI tools, frameworks, LLM technologies, and open-source solutions to enhance platform capabilities and team productivity.
• Collaborate closely with Business Analysts, Architects and technical teams to align AI engineering efforts with business objectives and ensure secure, compliant solutions.
• Establish and maintain technical documentation, deployment runbooks and SOPs.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.
• 8–10 years of hands‑on experience in software engineering, with a strong focus on AI/ML application development and deployment.
• Expertise in Kubernetes – container orchestration, Helm charts, pod management, scaling, and troubleshooting.
• Strong experience with MLOps/AIOps tools and practices (e.g., MLflow, Kubeflow, Airflow, model registries, monitoring frameworks).
• Hands‑on experience with cloud platforms – Azure, AWS, or GCP, including their AI services.
• Strong programming skills in Python; familiarity with FastAPI, Flask, or similar frameworks is a plus.
• Hands‑on experience with CI/CD pipelines and tools such as GitOps, Docker, Jenkins, or GitHub Actions.
• Lead and mentor development teams, drive delivery, and manage technical priorities.
• Experience working with GenAI frameworks (e.g., LangChain), and vector databases.
• Experience with observability and monitoring tools (Prometheus, Grafana, OpenTelemetry) for AI workloads.
• Good understanding of AI security, responsible AI principles, and governance frameworks.

Additional Skills

• Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Equal Employment Opportunity

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.