Lead AI Engineer

About the role

Hewlett Packard Enterprise is looking for an experienced Lead AI Engineer to drive the design, development and deployment of AI/ML-powered applications. The role is onsite, with the expectation that you will primarily work from an HPE office in Singapore. You will 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.
• Build and maintain end-to-end AI/ML pipelines covering deployment, monitoring, versioning and continuous improvement using modern MLOps/AIOps tools.
• Lead and mentor a team of AI/ML engineers, conduct code reviews and define best practices.
• Evaluate and adopt emerging AI tools, frameworks, LLM technologies and open-source solutions to improve platform capabilities and team productivity.
• Work with Business Analysts, architects and technical teams to align AI engineering with business objectives and ensure secure, compliant solutions.
• Maintain technical documentation, deployment runbooks and standard operating procedures.

Required profile

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML or a related field.
• 8-10 years of hands-on software engineering experience, focused on AI/ML application development and deployment.
• Experience leading and mentoring development teams and managing technical priorities.
• Good understanding of AI security, responsible AI principles and governance frameworks.

Required skills

• Kubernetes expertise (container orchestration, Helm charts, pod management, scaling and troubleshooting).
• MLOps/AIOps tools such as MLflow, Kubeflow, Airflow, model registries and monitoring frameworks.
• Cloud platforms: Azure, AWS or GCP, including their AI services.
• Strong Python; FastAPI, Flask or similar frameworks are a plus.
• CI/CD pipelines and tools such as GitOps, Docker, Jenkins or GitHub Actions.
• GenAI frameworks (e.g. LangChain) and vector databases.
• Observability tools such as Prometheus, Grafana and OpenTelemetry.

What we offer

• Benefits supporting physical, financial and emotional wellbeing for team members and their loved ones.
• Programs for personal and professional development.
• An inclusive workplace with flexibility to manage work and personal needs.