GenAI Architect 80-100% — Siemens
NewCHF 69'500 - 106'000
Siemens · Zug (ZG)
- Location
- Zug
- Contract
- full-time
- Posted
- Yesterday
SalaryCHF 69'500 - 106'000
Role overview
Together with our customers, we combine the real and digital worlds With technology, software and services for smart buildings, we transform the everyday for everyone.
By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences for their people.
It’s not just about improving buildings – it’s about creating efficient, safe, adaptable and sustainable environments, which improve the way the world lives and works.
- Together with our customers, we combine the real and digital worlds With technology, software and services for smart buildings, we transform the everyday for everyone.
- By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences for their people.
- Your new responsibilities
- GenAI Strategy & Leadership: Define and evolve the GenAI architecture, standards, and adoption roadmap across SI B PRO, aligning AI initiatives with business priorities, product roadmaps, engineering needs, and responsible AI principles
Main responsibilities
- Your new responsibilities
- GenAI Strategy & Leadership: Define and evolve the GenAI architecture, standards, and adoption roadmap across SI B PRO, aligning AI initiatives with business priorities, product roadmaps, engineering needs, and responsible AI principles
- AI Architecture: Architect scalable GenAI and agentic AI solutions across product development environments, including orchestration patterns, knowledge integration, tool access, API connectivity, model interaction, and deployment approaches
- Agentic AI SDLC Framework: Lead the design and implementation of an AI agentic SDLC framework for software and firmware teams, embedding AI-assisted and agent-based capabilities across requirements, architecture, coding, testing, security, deployment, and lifecycle management
- Engineering Enablement & Adoption: Define reusable reference architectures, guardrails, and best practices, and enable development teams through practical guidance, playbooks, and collaboration models that support broad and effective adoption
- Governance, Security & Compliance: Establish architecture patterns and controls that embed measurability, security, privacy, responsible AI, auditability, and regulatory alignment into GenAI solutions and operating models
- Platform & Ecosystem Integration: Drive integration of GenAI capabilities with engineering toolchains, cloud platforms, enterprise systems, and product development environments to enable scalable and interoperable implementation
- Innovation & Technology Evaluation: Assess emerging GenAI models, frameworks, and vendors, and translate relevant innovation into strategic recommendations, reusable capabilities, and architectural direction for SI B PRO Your talents and experience
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field
- Several years of experience in software architecture, enterprise architecture, AI/ML, or related technology leadership roles, including hands-on experience with Generative AI solutions
Application process
- today for the position of GenAI Architect – your team is looking forward to meeting you!
- Experience in designing and implementing enterprise-grade AI or GenAI architectures, including LLM-based applications, agentic workflows, retrieval-augmented generation (RAG), and AI platform integration
- Strong understanding of software and firmware development lifecycles, DevSecOps practices, and how AI can be embedded across engineering workflows in a scalable and well-governed way
- Good understanding of AI governance, cybersecurity, privacy, and regulatory landscapes relevant to enterprise AI adoption (e.g., EU AI Act, ISO 42001, ISO 27001, CRA, NIS2, secure AI practices)
- Strong communication, stakeholder management, and facilitation skills, with the ability to translate complex AI concepts into practical business and engineering outcomes
- Experience working across cloud platforms, developer toolchains, APIs, and enterprise integration patterns is highly desirable Fluent in English Employee benefits
- 2–3 days per week of mobile working is standard Mobility allowance Varied further training opportunities Access to employee share programs
- Further information about employee benefits can be found here Our corporate culture – your new working environment The culture at Siemens Switzerland is more than just a working environment – it is at the heart of our day-to-day interactions and the key to our success.
Company and context
- This is a high-impact role for a senior architect who wants to shape how GenAI is applied at scale across products engineering, in a global technology organization.
- In this role, you will establish the architectural foundations, standards, and governance needed to turn GenAI from isolated experimentation into durable enterprise capability.
- You will lead the design and rollout of an AI agentic SDLC framework for software and firmware development, helping engineering teams accelerate delivery, improve quality, and adopt GenAI in a secure, responsible, and scalable way.
- Working at the intersection of architecture, engineering transformation, cybersecurity, and product development, you will help shape the next generation of AI-enabled ways of working.
- Would you also like to play an active role in influencing current trends and developments and make a positive impact on the lives of millions of people in Switzerland?
- Then you’ve come to the right place!
Additional details
- Apply today for the position of GenAI Architect – your team is looking forward to meeting you!
- Experience working across cloud platforms, developer toolchains, APIs, and enterprise integration patterns is highly desirable Fluent in English Employee benefits
- 2–3 days per week of mobile working is standard Mobility allowance Varied further training opportunities Access to employee share programs
Notes and original content
- Experience working across cloud platforms, developer toolchains, APIs, and enterprise integration patterns is highly desirable
- Fluent in English Employee benefits
- 2–3 days per week of mobile working is standard
- Mobility allowance
- Varied further training opportunities
- Access to employee share programs
