You will manage and develop ML engineering talent, set clear goals, and ensure delivery of scalable, secure AI solutions. You'll foster collaboration and drive strategic improvements in ML practices.
As the Machine Learning Engineering Manager for the Joule Work Platform Services team, you will lead efforts to build a scalable, enterprise-grade platform powering AI-driven work experiences across SAP's product portfolio. Your responsibilities include designing and developing platform services. These services enable Joule's core capabilities. These capabilities include conversational AI, agentic workflows, tool integrations, and seamless connectivity to SAP business applications. Examples of these applications are S/4HANA, SuccessFactors, and Supply Chain Management.
You will define a compelling platform vision and lead your teams to execute on it — from foundational service architecture through to reliable, production-grade delivery. As a platform engineering leader, you will represent your team's technical direction to internal and external stakeholders, including product executive team, partner teams, and customers.
You will work closely with development leads, AI/ML engineers, product owners, product managers, and DevOps colleagues. This collaboration will happen within your team and with other units. Collaboratively, you will deliver platform capabilities that help increase Joule adoption. This includes tasks like developing agents, creating evaluation frameworks, deploying at scale, and making ongoing improvements in production.
What you'll do
Product Delivery — Define product plans and execute against committed delivery timelines; manage the day-to-day activities of the development team.
Product Ownership — Manage the entire software development lifecycle. This includes designing, leading the implementation, and testing of new platform features. Ensure that stakeholders adopt these features in a dynamic, agile environment.
AI Platform Development — Lead the design and delivery of agentic AI services, evaluation frameworks, and LLM-integrated platform capabilities that form the foundation of the Joule Work experience.
Product Support — Manage customer expectations by providing product support. Ensure high standards in handling incidents. Maintain quality interactions and address issues on time, meeting SLA commitments.
Technical Leadership — Provide architectural and functional guidance to the team; maintain hands-on interaction to deliver highly available, scalable AI/ML platform services.
People Management — Lead and develop your team by actively engaging with them. Manage staffing and talent development. Support career growth through mentoring and skills training. Aim to build and sustain a top-tier AI engineering team.
Location Leadership — Help with location-level initiatives. This involves collaborating with other units, executing training plans, managing hiring and internships, and planning the budget.
Machine Learning Engineering Manager at SAPITBusinessSysteme (Singapore, sg) — aijobsearch
What you'll bring
8+ years of experience in software product development, with a deep focus on AI/ML systems and platform engineering.
Proven track record of building a culture of design excellence and delivering high-impact AI-powered products.
Solid command of Agile development processes, with hands-on experience implementing agile practices across Development, QA, and Release functions.
Ability to communicate vision and strategy clearly to engineering teams, partners, and customers.
Demonstrated ability to build cohesive teams and drive cross-functional collaboration.
Technical depth sufficient to earn the respect of a senior engineering team and make credible architectural decisions.
Solid organizational skills with comfort leading change in a fast-moving environment.
Required technical experience
SaaS delivery based on microservice architecture
Container technologies: Docker, Kubernetes
Cloud deployment on AWS, GCP, or Azure
Proficiency in Python and/or Java
Solid comprehension of DevOps and MLOps principles and practices
Hands-on experience with Generative AI and Large Language Models (LLMs), including prompt engineering, fine-tuning, and evaluation
Knowledge with agentic AI frameworks (e.g. LangChain, AutoGen, or equivalent) and RAG architectures
Experience designing or operating LLM evaluation and observability pipelines
Nice to have: experience with SAP BTP, AI Core, or enterprise AI platform engineering
Meet your team
You will join the Joule Work Platform Services team at SAP Labs Singapore — a team of engineers and AI practitioners building the platform that powers Joule, SAP's AI copilot across the enterprise. We work on the hard problems: agentic reasoning, tool integration, evaluation at scale, and reliable AI delivery for millions of SAP users.
As part of SAP's global product engineering community, you will collaborate with experts across Singapore, Germany, and beyond — working on breakthrough challenges at the intersection of enterprise software and frontier AI.
SAP Labs Singapore offers a modern, open working environment and a direct path to impact at the scale only SAP can offer.
Equal Employment Opportunity (EEO) Statement
Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.