Join SAP in Munich (Garching), Germany as an Engineering Manager / Tech Lead – Industry AI, Autonomous Asset Management. This permanent, hands-on role combines technical leadership with people management to build and lead a new engineering team developing reusable Industry AI templates and modular AI components.
Requirements
Strong hands-on experience in software engineering and a proven track record of delivering complex software solutions.
Experience as a technical lead, software architect, or engineering manager.
Practical experience developing AI-powered applications, including generative AI and agentic AI frameworks.
Strong understanding of modern software architecture, cloud-native development, APIs, and distributed systems.
Excellent collaboration skills with fluency in English.
No specific degree or minimum years of experience explicitly mandated in the posting.
Skills & Responsibilities
Software Architecture & Coding: Actively contribute to software design, coding, prototyping, and code reviews while leading the engineering team.
AI Template Engineering: Drive the end-to-end development of reusable Industry AI templates and modular AI components for Autonomous Asset Management.
Agentic & Generative AI: Explore and apply emerging technologies such as agentic AI, generative AI, knowledge graphs, and retrieval-augmented generation.
Team Leadership & Collaboration: Recruit, mentor, and develop engineers while working closely with product management and industry experts.
Potential transition routes: People from Senior Software Engineer, Technical Lead, or AI Architect roles may bring strong programming, system design, and AI development skills, alongside meeting the technical leadership and enterprise software requirements.
Job description
Unternehmensbeschreibung
Stellenbeschreibung
What You'll Do
At SAP, we are shaping the future of Industry AI by combining cutting-edge artificial intelligence with deep industry expertise to transform core business processes.
We are looking for a passionate, hands-on Engineering Manager to build and lead a new engineering team in Munich, focusing on Industry AI solutions for Autonomous Asset Management.
The team will develop and own reusable Industry AI templates and engineering assets, enabling the efficient development, deployment, and scaling of intelligent solutions across industrial customers.
This role combines technical leadership with people management. You will remain deeply involved in software architecture, coding, and technical problem-solving while building and developing a high-performing engineering team.
Your key responsibilities include:
Lead hands-on engineering: Act as a technical lead, actively contributing to software architecture, design, coding, prototyping, and code reviews.
Own Industry AI template engineering: Drive the end-to-end development and evolution of reusable Industry AI templates for Autonomous Asset Management, ensuring their quality, scalability, extensibility, and maintainability.
Build reusable AI assets: Architect and develop modular AI components, including AI agents, reusable workflows, connectors, and other building blocks that accelerate the delivery of industry-specific AI solutions.
Scale innovation: Transform successful AI use cases and customer-specific implementations into standardized, configurable, and reusable capabilities that can be adopted across customers.
Advance AI technologies: Explore and apply emerging technologies in agentic AI, generative AI, knowledge representation, and intelligent automation to solve complex industrial challenges.
Drive engineering excellence: Establish robust engineering practices across development, testing, integration, deployment, and ongoing software lifecycle management.
Lead and grow the team: Recruit, mentor, and develop talented engineers, fostering a culture of technical excellence, innovation, ownership, and continuous learning.
Collaborate across disciplines: Work closely with product management, industry experts, FDE delivery teams, and other engineering teams to translate business needs and technological innovations into scalable enterprise solutions.
What You'll Bring:
Strong hands-on experience in software engineering, with a proven track record of designing and delivering complex, production-grade software solutions.
Engineering Manager / Tech Lead – Industry AI, Autonomous Asset Management
Munich
Experience as a technical lead, software architect, or engineering manager, combined with the ability to coach and develop engineers.
Excellent programming skills, and a strong willingness to engage deeply in code, prototype, architecture reviews while empowering teams to own implementation
Ability to identify common patterns across customer use cases and translate them to reusable technical capabilities
Practical experience developing AI-powered applications, ideally leveraging generative AI, and agentic AI frameworks.
Strong understanding of modern software architecture, cloud-native development, APIs, distributed systems, and software engineering best practices.
Experience designing reusable software components, frameworks, or platforms, with a strong focus on modularity, extensibility, and maintainability.
Ability to balance rapid innovation with engineering rigor and long-term software quality.
A builder mindset, strong technical judgment, and enthusiasm for bringing new technologies into real-world enterprise applications.
Excellent collaboration and communication skills, with fluency in English.
The following experience would be an advantage:
AI agent orchestration, knowledge graphs, ontologies, retrieval-augmented generation, or decision intelligence.
Industrial asset management, optimization, industrial IoT, or asset-intensive industries.
Enterprise software development, SAP technologies, or enterprise integration.
Experience developing reusable technology assets and scaling solutions across multiple customers.
Where you belong:
Shape the future of Industry AI: Build intelligent solutions that transform how asset-intensive industries operate.
Stay hands-on: Combine meaningful technical contributions with engineering and people leadership.
Build something new: Help establish a Munich-based engineering team and shape its technical direction and culture.
Create lasting impact: Develop reusable AI capabilities that accelerate innovation and deliver value at enterprise scale.
Work at the forefront of AI: Apply emerging AI technologies to complex, real-world industrial challenges within SAP's global enterprise ecosystem.
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
Qualifikationen
Zusätzliche Informationen
Über SAP Mithilfe eines weltweiten Netzwerks aus Kunden, Partnern, Mitarbeitern und Vordenkern verbessert SAP die Abläufe in der weltweiten Wirtschaft und das Leben von Menschen. Als weltweit führender Anbieter von Anwendungen und KI für Unternehmen sitzt SAP an der Schnittstelle zwischen Wirtschaft und Technologie. Seit über 50 Jahren vertrauen Unternehmen darauf, dass SAP sie durch die Zusammenführung geschäftskritischer Abläufe in Finanzwesen, Beschaffung, Personalwesen, Lieferkette und Customer Experience dabei unterstützt, bestmögliche Ergebnisse zu erzielen.
Wir gewinnen durch Inklusion SAPs Kultur der Inklusion, der Fokus auf Gesundheit und Wohlbefinden sowie flexible Arbeitsmodelle stellen sicher, dass sich alle – unabhängig vom Hintergrund – einbezogen fühlt und ihr Bestes geben können. Bei SAP sind wir überzeugt davon, dass uns die einzigartigen Fähigkeiten und Eigenschaften, die jede Person mitbringt, stärker machen. Deshalb investieren wir in die Menschen bei SAP, um Selbstvertrauen zu stärken und allen zu helfen, ihr volles Potenzial zu entfalten. Unser Ziel ist es, alle Talente zu fördern und eine bessere Welt zu schaffen.
Chancengleichheit und Barrierefreiheit SAP bekennt sich zu den Werten der Chancengleichheit am Arbeitsplatz und bietet im Fall von mit körperlichen und/oder geistigen Beeinträchtigungen barrierefreie Unterstützung bei der Bewerbung. Wenn du dich für eine Stelle bei SAP bewerben möchtest und Unterstützung oder besondere Hilfe beim Navigieren auf unserer Website oder beim Ausfüllen deiner Bewerbung benötigst, sende bitte eine E-Mail mit deiner Anfrage an das Recruiting Operations Team: Careers@sap.com. Anfragen auf angemessene Vorkehrungen werden im Einzelfall geprüft.
Nur unbefristete Positionen sind gemäß den Teilnahmebedingungen in der SAP Referral Policy für das SAP-Mitarbeiterempfehlungsprogramm berechtigt. Für Positionen in der Berufsausbildung können besondere Bedingungen gelten.
Einsatz von KI im Rekrutierungsprozess Weitere Informationen über den verantwortungsvollen Einsatz von KI in unserem Rekrutierungsprozess findest du in unseren Richtlinien zur ethischen Nutzung von KI im Rekrutierungsprozess. Bitte beachte, dass Verstöße gegen diese Richtlinien zum Ausschluss aus dem Bewerbungsprozess führen können.
