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SAP

AI Engineer – Development Expert (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 bring

  • You have several years of hands-on experience in software architecture and development, ideally in the utilities or energy industry.

  • You have a deep understanding of the technical landscape — from message exchange to smart meter gateway integration — and you stay informed about relevant regulatory and technology trends.

  • Based on your architectural expertise, your knowledge of cloud-native patterns, and your strong analytical skills, you design solutions that are both technically sound and valuable to customers.

What you’ll build

As part of the Industry AI unit for Energy and Natural Resources, your focus will be on the architecture, design, and technical delivery of solutions and agents in the area of metering concept management/distributed energy resources. Working side by side with a dedicated team of Product Experts who define the scope, you will translate product requirements into scalable, cloud-native software architectures and guide your development team from design to production.

You will own the end-to-end technical solution and new agentic use cases, ensuring that system design decisions balance correctness, performance, and maintainability. You drive architectural governance, evaluate technology choices, and act as the primary technical point of contact for all development teams on a day-to-day basis.

Direct engagement with customers on technical requirements and solution design is an important and integral part of your work.

This role requires a combination of deep technical expertise, systems thinking, and strong communication skills in English.

Required skills & experiences:

  • Design and deliver software solutions for utility customers.

  • Translate product requirements and regulatory changes into concrete technical designs, implementation plans, and actionable engineering tasks.

  • You have an excellent understanding of Agentic AI, SAP Business AI, and modern AI engineering capabilities, including their practical application in industry-specific technical architectures.

  • You have an excellent understanding of governance, security, compliance, and data and privacy considerations is essential. Proven experience optimizing complex, high-throughput systems for performance and cost efficiency is expected

  • You have demonstrated the ability to lead and mentor development teams, set architectural direction, and align cross-functional stakeholders on technical trade-offs and delivery priorities.

  • You're also a technical leader who can mentor engineers, guide design decisions, and influence cross-functional stakeholders across product, platform, and AI teams. Strong consulting and results orientation with the ability to structure technical ambiguity, evaluate architectural options, and guide teams from initial design to validated implementation.

  • You have proactively uses AI in daily engineering workflows to accelerate design, code reviews, testing, automation, and quality assurance of results.

  • Excellent knowledge of English.

Where you belong

You will be part of the Industry AI unit for Energy and Natural Resources, a team focused on turning Industry AI opportunities in the ENR space into measurable customer value.

In this role, you’ll help raise engineering standards beyond your immediate responsibility by driving architectural best practices, fostering an AI-powered development culture, and enabling your team to deliver with confidence and speed.

If you want to shape the technical foundation of solutions that run critical energy infrastructure and are ready to take Industry AI for ENR from architecture to AI-supported implementation, this role is a great fit for you.

Key competencies in this role include agentic engineering, agentic orchestration, AI-assisted engineering, cloud architecture, and semantic retrieval. In addition, you have experience in the daily use of agentic AI as well as in promoting AI adoption in engineering organizations.

Other skills used in this role: Collaboration, Complex Problem Solving, Creative Thinking, Effective Communication, Learning Agility, Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping.

Qualifications

Additional Information

Requisition ID: REF2407W

Company: SAP SE

Location: Garching/Munich

Expected Travel: 0 - 10%

Career Status: Professional

Employment Type: Regular Full Time or Part Time

Career Level: T4pf

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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Working at SAP

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
Apply

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Company employees:

107,000

Gender diversity (m:f):

65:35

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