AI STRATEGY & ARCHITECTURE LEAD - HR TECHNOLOGY (M/F/D)

Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.
Our goal is to optimize processes and provide services driven by expertise, in areas such as business administration, human resources, supply chain management, sales, marketing, and engineering.
Through innovation and digitalization, we facilitate the achievement of a successful and sustainable transformation.
  As an AI Architect for HR Technology, your main challenge is to  define and oversee implementation of the AI strategy, architecture and roadmap for Siemens’ HR processes (hire-to-retire).
 You will lead AI-driven innovation, identifying and integrating cutting-edge technologies to enhance HR processes.
Acting as a key advisor, you will collaborate with business leaders, technical experts, and vendors to drive the adoption of scalable AI solutions.
You'll make an impact by.
AI Strategy and roadmap.
define a strategic AI roadmap aligned with business goals and customer digitalization strategies, and monitor roadmap implementation AI Architecture.
design scalable AI architectures leveraging the company AI ecosystem and available market platforms Innovation.
lead AI driven innovations, scout emerging technologies, identify internal  and external best practices, propose best option for introduction (PoC, prototype, pilot, MVP,..) AI governance and ethics.
Ensure compliance with internal and external regulations, guardrails, technical standards and ethical AI standards Vendor and technology selections.
evaluate and integrate AI technologies, conduct make or buy decisions, support vendor management in RFIs, RFPs and negotiations for topics related to AI, develop internal and external partnerships Stakeholder management.
support the customers and the business stakeholders in identifying potential use cases and expected benefit (productivity, user experience, quality,...), assess costs, opportunities and risks This is how you'll win us over.
Bachelor’s or Master’s Degree in Computer Science, AI, Data Science, or related field 5 to 10  years experience in AI/ML or data science design and deployment Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Excellent analytical and communication skills Ability to influence others or leadership position Proficiency in English Desired additional qualifications.
Domain knowledge in people and organization processes (HR processes like service desk, administration processes, payroll automation) is a plus, alternatively in financial processes or logistics  Experience in steering company transformation programs What You Can Expect & What We Offer You will have the opportunity to shape the AI innovation in HR technology, contribute to the company transformation, and collaborate in a dynamic and open-minded extended community.
In addition,  we offer.
A flexible way of working (Smartworking).
A performance-driven environment that rewards achievement and innovation.
Continuous training and professional growth opportunities.
Flexible welfare programs.
Employee shareholding plans.
This position is open for hiring in  Spain, Portugal, Czech Republic and India.  We look forward to receiving your online application  in English.
 Please complete all sections of the application form, as we will use this information to assess your suitability for the role.
At Siemens, we promote equal opportunities for all individuals, regardless of gender, identity, sexual orientation, ethnicity, age, (dis)ability, neurodivergence, or any other characteristic.
We believe that diversity drives our success, and we strive to create an inclusive environment where everyone feels a sense of belonging and has the opportunity to grow and develop professionally.
Our  Equality Plan, in line with current legislation, ensures fair and transparent treatment, and we are committed to continuously building a more equitable and diverse workplace.
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