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SAP

Senior AI Engineer (f/m/d)

Location:  Garching bei München, Germany
Location flexibility:  3 office days / week
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Job Description

Company Description

Job Description

What you'll bring:

  • Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment.

  • Strong experience of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services.

  • Proficiency in system design for scale, resiliency, and fault tolerance is required.

  • Experience with data pipelines, MLOps concepts, or AI/ML model integration in application contexts.

  • Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability.

  • Curiosity, adaptability, and a growth mindset — you actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment.

  • Good understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines.

  • Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings.

  • An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus.

What you'll build

Join our growing Industry AI team in Munich and help shape the future of Autonomous Asset Management, transforming how asset-intensive industries manage, maintain, and optimize their critical assets through AI.

You will build innovative, scalable AI solutions that enable smarter decisions, more efficient operations, and greater autonomy across the asset lifecycle.

  • Build next-generation Industry AI solutions that combine agentic AI, intelligent automation, and advanced optimization to address complex asset management challenges.

  • Develop reusable AI capabilities and templates that provide a scalable foundation for innovation across customers and industries.

  • Take end-to-end technical ownership, from solution design and engineering to deployment, continuous improvement, and long-term evolution.

  • Translate industry expertise into intelligent solutions, connecting enterprise data, business context, and AI-driven decision-making to deliver measurable customer value.

  • Drive innovation from concept to reality, collaborating with product management, FDE delivery teams, and industry experts to turn emerging AI technologies into enterprise-ready solutions.

You will have the opportunity to work at the forefront of enterprise-grade Industry AI, take significant technical ownership, and help define how autonomous asset management becomes a reality for leading global enterprises.

In this role, you will:

  • You'll independently design and architect scalable, AI-native application systems and components, including advanced RAG pipelines and multi-agent workflows. Evaluation and benchmarking frameworks to measure AI system quality, reliability, and performance are things you'll build and own.

  • You'll optimize latency, throughput, and cost efficiency across systems. Observability and SRE practices, including monitoring, alerting, incident response, and root cause analysis, are areas you'll implement and improve.

  • You'll partner with platform, data, and AI teams to design robust, production-ready solutions and improve system integration. System scalability, resilience, and maintainability are areas you'll continuously work to strengthen.

  • Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs.

  • Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements.

  • Participate in code reviews, technical discussions, and design sessions, actively developing your engineering skills and knowledge.

  • Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability.

  • Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing.

  • Demonstrate a proactive learning mindset — staying current with AI/ML developments and applying new techniques and tools to improve solution quality.

Where you belong:

You will be part of a growing Industry AI and expert team serving customers across the Americas, Europe, and Asia. We invest in the growth of our people at every level — and this role is built for someone who wants to accelerate fast. You will be surrounded by experienced engineers and AI practitioners who are committed to helping you develop. You will thrive here if you are curious, hardworking, and motivated by the opportunity to build real AI solutions for real enterprise customers — from day one.

Skills used in this role: Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Learning Agility, Collaboration, Complex Problem Solving, Creative Thinking, Effective Communication, Agentic Engineering, Agentic Orchestration, AI-Assisted Engineering, Cloud Architecture, Semantic Retrieval

Qualifications

Additional Information

Requisition ID: REF2942E

Company: SAP SE

Location: Garching/Munich

Expected Travel: 0 - 10%

Career Status: Professional

Employment Type: Regular Full Time or Part Time

Career Level: T3

Hiring Manager: Guido Menkhaus

Recruiter: Nola O'Connor

Additional Locations:

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 to complete your application, please send an e-mail with your request to 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 their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

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.

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3 office days / week

Fully flexible hours

Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
Learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Awards & Accreditations

Best Workplace Benefits

Top 10 - Best Workplace Benefits

Flexa awards 2026
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Company employees:

107,000

Gender diversity (m:f):

65:35

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