Machine Learning Engineer
Agentic AI SDLC Architect (f/m/d)
Munich
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Shape the future of AI-native software engineering for smart buildings.
Together with our customers, we combine the real and digital worlds
With technology, software, and services for smart buildings, we transform everyday life for everyone. By combining the real and digital worlds, we empower our customers to achieve their decarbonization goals, lower operating costs, and create world-class occupant experiences for their people. It is not just about improving buildings. It is about creating efficient, safe, adaptable, and sustainable environments that improve the way the world lives and works.
The digital transformation of buildings is a fast-changing, dynamic sector, and it needs more than great technology. It also needs great people. We know a business only thrives when its people are thriving, so at Siemens we put our people first.
Within our buildings business, our diverse global team will support you throughout your career and challenge you to grow in new and exciting ways as we transform the world’s infrastructure.
What We Offer You
- An attractive remuneration package
- Access to Siemens share plans
- 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family
- Flexible training opportunities for both your professional and personal development that you can tailor to your interests
- Barrier-free locations
Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.
The individual benefits are subject to regulatory, contractual, or corporate conditions.
Your mission
As an
Agentic AI SDLC Architect
, you will define and lead the architecture, operating model, and adoption strategy of the Agentic AI Software Development Lifecycle across SI Buildings Software & Digital Services (SDS), also known as Building X.
This is a highly visible transformation role for a senior architect who wants to shape how AI, autonomous agents, and AI-native engineering practices are embedded across software and firmware development at enterprise scale.
You will establish the architectural foundations, governance model, standards, and engineering guardrails that enable the transition from traditional software development to an AI-native Software Factory. Working at the intersection of software architecture, platform engineering, DevSecOps, cybersecurity, AI governance, and product engineering, you will design the framework through which AI agents become trusted participants across the entire software lifecycle.
You will drive the evolution from isolated AI tools and copilots to a governed ecosystem of agentic capabilities spanning requirements engineering, architecture, implementation, quality engineering, security assurance, release management, operations, and continuous learning.
Your work will directly influence the future engineering operating model of SI Buildings and help create a scalable, secure, and measurable approach to AI-augmented product development.
Your New Responsibilities
Agentic AI Engineering Strategy & Transformation
- Define and evolve the Agentic AI Engineering Strategy, target architecture, governance model, and adoption roadmap across SDS.
- Align AI transformation initiatives with business objectives, product strategy, engineering priorities, and responsible AI principles.
- Shape the future Software Factory operating model and drive the transition to AI-native engineering practices.
Agentic AI SDLC Architecture
- Design and own the architecture of the Agentic AI SDLC framework.
- Define how AI agents participate across requirements, architecture, implementation, testing, security, compliance, deployment, operations, and feedback loops.
- Develop reference architectures for human-in-the-loop, human-on-the-loop, and autonomous execution patterns.
Multi-Agent Systems & Orchestration
- Architect scalable multi-agent ecosystems capable of collaborating across engineering workflows.
- Define orchestration patterns, agent communication standards, context-sharing mechanisms, memory management approaches, and execution guardrails.
- Establish standards for agent lifecycle management, capability composition, and interoperability.
AI Governance, Trust & Compliance
- Define governance mechanisms that ensure traceability, auditability, explainability, observability, and accountability of agentic systems.
- Embed responsible AI, cybersecurity, privacy, compliance, and regulatory requirements into architectural patterns and operational controls.
- Establish measurable governance gates and continuous, evidence-based assurance models for AI-assisted software delivery.
AI Platform & Toolchain Integration
- Drive integration of AI capabilities into developer toolchains, CI/CD platforms, engineering workflows, cloud environments, and enterprise systems.
- Define reusable platform services supporting AI agents, evaluation pipelines, retrieval systems, model gateways, knowledge services, and policy enforcement.
Evaluation & Continuous Learning
- Define evaluation frameworks and quality metrics for AI-assisted development and autonomous agent execution.
- Establish mechanisms for measuring business impact, engineering productivity, quality improvements, risk reduction, and AI adoption maturity.
- Continuously assess emerging technologies and incorporate applicable innovations into the framework roadmap.
Your Talents And Experience
- Education: Bachelor’s or master’s degree in computer science, artificial intelligence, software engineering, data science, or a related discipline.
- Experience & Skills:
- Extensive experience in software architecture, enterprise architecture, platform engineering, DevSecOps, or engineering transformation leadership.
- Proven experience designing enterprise-scale AI systems, generative AI platforms, LLM-based applications, multi-agent architectures, and AI-enabled engineering workflows.
- Experience with agent orchestration frameworks, retrieval-augmented generation, knowledge systems, AI evaluation strategies, and AI governance frameworks.
- Familiarity with responsible AI frameworks and relevant standards and regulations, including ISO 42001, ISO 27001, the EU AI Act, the Cyber Resilience Act, NIS2, and secure AI engineering practices.
- Experience integrating AI capabilities across cloud environments, developer platforms, enterprise workflows, APIs, and software delivery toolchains.
- Ways of working:
- Excellent stakeholder management, communication, and change leadership skills, with the ability to translate complex technical concepts into practical engineering outcomes.
- Strong understanding of AI observability, agent reliability, evaluation methodologies, trust and safety mechanisms, and operational AI controls.
- Strong understanding of modern software and firmware development lifecycles, platform engineering, DevSecOps, continuous delivery, and Software Factory concepts.
- Languages: Fluent in English.
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!
At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.
As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. In the case of equal qualifications, severely disabled applicants and applicants with equivalent status will be given preference.
About Us
Ready to dive into the future?
At Siemens Smart Infrastructure Buildings, we focus on creating innovative solutions to make buildings smarter, safer, and more sustainable – in other words, simply better. Interested in being part of this journey? Join us and seize the opportunity to shape the future with us.
You can find more information about the department and its products here.
www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.
FAQ – if you need further information on the application process.
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