Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.
Our portfolio comprises services driven by expertise and the latest technology – with a strong focus on innovation and digitalization in areas like Finances, Business Administration, Human Resources, Procurement, Sales and After-Sales.
In our GBS Western Europe and Africa Hub we are already more than 1500 connected people, from over 50 different nationalities spread across 14 countries. If you value diversity and innovation, you’ll feel right at home here!
Discover our purpose, culture, and what makes GBS unique! Check out here!
GBS Digital Solutions (DS) co-create state-of-the-art solutions to boost digital business value with innovative technology and a powerful partner ecosystem. Our digital service portfolio covers: Digital Advisory Services, Business Process Management, Integration Layer, GenAI and Agentic AI, Advanced Analytics, Robotic Process Automation and Tech Operations.
Are you ready to be part of the change? Come join us!
We are seeking a highly experienced Senior AI Architect to lead the design, governance, and delivery of enterprise-scale Artificial Intelligence solutions, with a strong focus on Generative AI, Agentic AI, NLP, Machine Learning, and intelligent automation.
The successful candidate will serve as the technical authority for AI architecture, enabling business transformation through scalable, secure, and responsible AI solutions. This role combines solution architecture, AI engineering expertise and leadership, and technical stakeholder engagement. The Senior AI Architect will define architectural standards, support solution design, guide delivery teams, mentor technical teams towards continuous growth, and ensure alignment with enterprise technology strategies.
Your mission will be…
- Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, Information Technology, or a related field.
- 10+ years of professional experience in IT, Data/Analytics or ML/AI.
- 7+ years of direct professional experience in designing, building and deploying AI-based business solutions, as a senior engineer or tech lead. This is mandatory.
- Experience in interfacing with engineering teams as a tech lead and/or solution architect is mandatory.
- Background in consulting, working with different technologies and business scenarios, is valued.
- Experience working in scenarios of complex, enterprise-grade systems with multiple technologies and strict compliance requirements are highly valued.
We are looking for someone with…
- Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, Information Technology, or a related field.
- 10+ years of professional experience in IT, Data/Analytics or ML/AI.
- 7+ years of direct professional experience in designing, building and deploying AI-based business solutions, as a senior engineer or tech lead. This is mandatory.
- Experience in interfacing with engineering teams as a tech lead and/or solution architect is mandatory.
- Background in consulting, working with different technologies and business scenarios, is valued.
- Experience working in scenarios of complex, enterprise-grade systems with multiple technologies and strict compliance requirements are highly valued.
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Direct professional experience as a senior engineer or tech lead working through the whole ML lifecycle.
- Direct professional experience with core Generative AI concepts, including Deep Learning fundamentals, Model evaluation and monitoring, Feature engineering, RAG, Embeddings and Vector Search, NLP.
- Direct professional experience with MLOps/ practices and AI deployment platforms. Experience with MLflow and Databricks is highly valued.
- Direct professional experience in designing, deploying and managing ML/AI solutions in cloud platforms such as AWS, Azure, or Google Cloud.
- Superior ability to assess risks and technical trade-offs and guide AI solution decisions.
- Experience with AgenticAI frameworks and approaches - namely ADK, MCP, LangGraph/LangChain - is highly valued.
- Knowledge of data engineering, cybersecurity, and enterprise architecture principles, are highly valued.
- Experience with SDLC and solid knowledge of Software Engineering principles and best practices are highly valued.
- High proficiency in English.
What We Offer
- Belong & Innovate: Work in diverse teams where every idea matters and innovation grows through collaboration and trust.
- Flexibility that Works: Hybrid model, flexible hours, and a home office budget — because balance fuels performance.
- Health & Well-being: Comprehensive health insurance, mental health support, and active sports communities to keep you feeling your best.
- Grow Without Limits: Access world-class learning platforms, mentoring, and continuous development opportunities.
- Purpose & Perks: Contribute to sustainability and volunteer initiatives, enjoy partner discounts, and take advantage of our convenient shuttle service.
Please attach your CV in English to your application.
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Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!
