Forward Deployed Engineer: AI Engineer (f/m/d)

As a Forward Deployed Engineer (FDE), you operate as an embedded, customer-facing software engineer within Siemens business units such as supply chain, finance, and HR. You translate complex business challenges into production-ready AI systems within 4-to-8-week cycles, leveraging the Siemens Data & AI Cloud (SDC). Once your solution is successfully deployed and handed over to the domain teams, you move on to the next high-impact problem.

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- Flexible training opportunities for both your professional and personal development that you can tailor to your interests

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](https://www.siemens.com/de/en/company/jobs/benefits-what-we-offer.html). The individual benefits are subject to regulatory, contractual, or corporate conditions.

You’ll make an impact by:

• Driving emerging AI technologies into production-grade systems as an early adopter while honestly validating and documenting real-world performance. - Architecting and building end-to-end solutions, spanning data ingestion, retrieval and model layers, agent orchestration, APIs, and practical user interfaces. - Engineering reliable agents and multi-agent systems using frameworks like LangGraph, Google ADK, and the Microsoft Agent Framework with built-in evaluation and guardrails. - Embedding directly with domain leads and VPs to uncover undocumented process details and rapidly transform them into working software. - Delivering a tangible core of value into stakeholders' hands within the first two weeks to establish credibility through visible velocity. - Feeding frontline insights back into the core platform team to continuously improve SDC primitives and shared tooling based on empirical evidence. - Codifying recurring technical patterns into reusable components, templates, and building blocks that accelerate future organizational engagements. - Executing clean handovers to operating domain teams supported by thorough documentation, architectural decision records, and operational runbooks.

Your defining qualities:

• Education: You hold a Master's degree or equivalent in Computer Science, AI/ML, Mathematics, Engineering, or a comparable quantitative discipline. - Experience & Skills:- You bring 5 or more years of hands-on AI/ML engineering experience featuring a proven portfolio of deployed systems used in production environments. - You posses deep expertise in the modern AI stack, including Python, major LLM APIs, RAG architectures, vector stores, and prominent agent frameworks. - You exhibit strong software engineering fundamentals covering clean tested code, CI/CD, containerization, API design, and major cloud providers such as Azure, AWS, or GCP.
• Ways of working:- You demonstrate a strong track record of direct, customer-facing or stakeholder-facing technical delivery rather than backend ticket queues. - You display an entrepreneurial temperament characterized by comfort with ambiguity, enthusiasm for unproven technology, and sound judgment under pressure.
• Languages: You offer fluent English language skills complemented by German proficiency as an advantageous asset for local enterprise engagements.

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](http://www.siemens.com/global/en/company/sustainability/social-commitments/belonging.html), we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.

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