Company Description
Job Description
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 steadfast 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 involvement 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 proficient 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 a exemplary knowledge of Agentic AI, SAP Business AI, and modern AI engineering capabilities, including their useful application in industry-specific technical architectures.
· You have a exemplary knowledge 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. Solid 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.
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 knowledge 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 solid analytical skills, you design solutions that are both technically sound and valuable to customers.
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 spearheading architectural best practices, fostering an AI-powered development culture, and enabling your team to deliver with confidence and momentum.
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, cloud security architecture, CI/CD, evaluation and benchmark engineering, scalability design, semantic retrieval, systems thinking, and technical executive team. 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,Observability, AI-Assisted Engineering, Troubleshooting (Problem Solving),Cloud Architecture, Continuous Integration/Continuous Delivery (CI/CD)
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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.
Qualifications
Additional Information
About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
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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.
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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.
