Lead AI Engineer

Hewlett Packard Enterprise Development LP; Singapore; On-site; SGD 120,000 - 240,000; Full time

Benefits offered by this job

Health & wellbeing

Personal & professional development

Unconditional inclusion

Job summary

Hewlett Packard Enterprise seeks a Lead AI Engineer to drive AI/ML design, development and deployment. You will lead a team of AI/ML developers, define best practices, and deliver scalable, production-grade AI solutions aligned with business goals.

You will design end-to-end AI pipelines, collaborate with analysts and architects, and stay ahead with emerging tools and secure governance practices. This onsite role is based in Singapore.

Qualifications

• 8–10 years of hands-on software engineering with a focus on AI/ML development and deployment.
• Strong Kubernetes expertise including helm, pod management, scaling and troubleshooting.
• Experience with MLops/AIOps tools and cloud AI services (Azure/AWS/GCP).

Responsibilities

• Design, develop, and deploy AI/ML applications and APIs on Kubernetes-based infra.
• Lead and mentor a team of AI/ML engineers and perform code reviews.
• Establish best practices, maintain runbooks, and ensure secure compliant solutions.
• Evaluate emerging AI tools and frameworks to enhance platform capabilities.

Skills

Kubernetes

MLOps

Python

CI/CD

LangChain

Observability

Team leadership

Education

Bachelor's or Master’s in CS/Engineering/AI

Tools

MLflow

Kubeflow

Airflow

OpenTelemetry

Docker

Jenkins

GitHub Actions

Job description

Lead AI Engineer

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

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

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, Architect 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.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities.

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.

Follow Us

Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #singapore

Job Details

Job: Engineering
Job Level: TCP_04

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.

Legal Information

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.

E-Verify

HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees.

Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.