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# Forward Deployed Engineer: AI Engineer

- **Company:** Siemens AG
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Encodings, Continuous Integration, Python (Programming Language), Machine Learning, Data Ingestion, Large Language Models, Multi-Agent Systems, Backend, Containerization, Information Technology, Api Design
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1a6ff6f8f52461cf

## About the Role

* 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.

## Description

* 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.