Development Expert
SAP
About the Role
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. 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.
Key Responsibilities
- Design and deliver software solutions for utility customers.
- Translate product requirements and regulatory changes into concrete technical designs, implementation plans, and actionable engineering tasks.
- Optimize complex, high-throughput systems for performance and cost efficiency.
- Lead and mentor development teams, set architectural direction, and align cross-functional stakeholders on technical trade-offs and delivery priorities.
- Mentor engineers, guide design decisions, and influence cross-functional stakeholders across product, platform, and AI teams.
- Structure technical ambiguity, evaluate architectural options, and guide teams from initial design to validated implementation.
- Proactively use AI in daily engineering workflows to accelerate design, code reviews, testing, automation, and quality assurance of results.
- Collaborate across regions, share insights, and contribute to shaping industry-leading practices.
Requirements & Tech Stack
- Exemplary knowledge of Agentic AI, SAP Business AI, and modern AI engineering capabilities, including their useful application in industry-specific technical architectures.
- Exemplary knowledge of governance, security, compliance, and data and privacy considerations.
- Deep knowledge of the technical landscape — from message exchange to smart meter gateway integration.
- Knowledge of cloud-native patterns.
- Solid analytical skills.
- Excellent knowledge of English.
- Technical skills in build and release processes.
- Ability to coordinate across teams and maintain quality.
Qualifications
- Several years of hands-on experience in software architecture and development, ideally in the utilities or energy industry.
- Stay informed about relevant regulatory and technology trends.
- Attention to detail.
- Readiness to learn.
Key Competencies
- Agentic engineering
- Agentic orchestration
- AI-assisted engineering
- Cloud architecture
- Cloud security architecture
- CI/CD
- Evaluation and benchmark engineering
- Scalability design
- Semantic retrieval
- Systems thinking
- Technical executive team
- Experience in the daily use of agentic AI
- Experience in promoting AI adoption in engineering organizations.
Other Skills
- 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