Machine Learning Engineering Manager

About the role

SAP Labs Singapore is looking for a Machine Learning Engineering Manager for its Joule Work Platform Services team. The manager leads the effort to build a scalable, enterprise-grade platform powering AI-driven work experiences across SAP's product portfolio, including conversational AI, agentic workflows, tool integrations and connectivity to SAP applications such as S/4HANA, SuccessFactors and Supply Chain Management. The role defines the platform vision, works with development leads, AI/ML engineers, product owners and DevOps colleagues, and represents the team's technical direction to internal and external stakeholders.

Key responsibilities

• Define product plans and execute against committed delivery timelines, managing the day-to-day activities of the development team
• Manage the full software development lifecycle, from design and implementation to testing and stakeholder adoption in an agile environment
• Lead the design and delivery of agentic AI services, evaluation frameworks and LLM-integrated platform capabilities
• Provide product support, handle incidents to high standards and meet SLA commitments
• Give architectural and functional guidance and stay hands-on to deliver highly available, scalable AI/ML platform services
• Lead and develop the team, manage staffing and talent development, and mentor and train staff
• Support location-level initiatives, including training plans, hiring and internships, and budget planning

Required profile

• 8+ years of experience in software product development, focused on AI/ML systems and platform engineering
• Degree in Computer Science, Data Science, Mathematics, Statistics or a related field
• Proven track record of building a culture of design excellence and delivering high-impact AI-powered products
• Ability to communicate vision and strategy clearly and to build cohesive, cross-functional teams

Required skills

• SaaS delivery on microservices, with Docker and Kubernetes
• Cloud deployment on AWS, GCP or Azure
• Python and/or Java
• DevOps and MLOps principles and practices
• Generative AI and LLMs, including prompt engineering, fine-tuning and evaluation
• Agentic AI frameworks (e.g. LangChain, AutoGen) and RAG architectures
• Nice to have: SAP BTP, AI Core or enterprise AI platform engineering experience