48 geprüfte KI-Jobs in Integration & Automatisierung für Studium und Praktikum

Anforderungen

Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems or a related field Longstanding professional experience in software or AI engineering, including hands-on delivery of LLM-based applications or agentic systems in a business environment Experience building agents in commodity solutions, with agent frameworks and harnesses (e.g. LangGraph, Semantic Kernel, Model Context Protocol) and as custom agents; Copilot Studio is a plus Hands-on experience with Snowflake and with the cloud and AI services of Azure and AWS (e.g. Azure AI Foundry, Amazon Bedrock) is a must Strong Python; a second language such as TypeScript is a plus; solid software engineering practices (Git, testing, CI/CD, code review) Hands-on experience using AI in professional software development - agentic coding tools, AI-supported testing and review - beyond prototyping Practical experience with context and retrieval engineering: prompting, embeddings, RAG, chunking and metadata, evaluation of answer quality Understanding of data models and SQL Knowledge of secure-by-design principles, permission models, data privacy and Responsible AI Process understanding: the ability to analyse and redesign processes and to drive them with innovative approaches Ability to translate business language into technical designs and to explain technical trade-offs to non-technical colleagues Fluency in English About the Team Our Corporate Functions are essential in driving the company s strategic initiatives and ensuring operational excellence across various departments, business areas, and regions.

These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external stakeholders, and conducting business responsibly and in compliance with legal requirements and regulations. Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world s electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https:/www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same.

Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability.

We energize society, all of society, and we do not discriminate based on our differences. Rewards/

Das wird geboten

In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme We also offer the opportunity to become a Siemens Energy shareholder We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose In relation to the compatibility of family and work, we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical We value equal opportunities and welcome applications from people with disabilities. https:/jobs.siemens-energy.com/jobs

Zur Position

A Snapshot of Your Day You re building the foundation of the Financial Planning & Analysis of tomorrow. As AI & Context Engineer FP&A you lead the Context Workstream for FP&A: you build the FP&A context layer and its governance and operating model, and the agents that run FP&A processes end to end. The context layer reaches from extracting and structuring the knowledge in our documents, processes and definitions, through the semantic layer that makes it binding, to retrieval that every AI tool can consume, commodity or self-built.

On that foundation you make FP&A processes agentic: together with our process analysts you decompose redesigned processes into steps an agent can execute and build the agents that run them. You are part of the FP&A Transformation & Enablement team, report to its lead and work in close collaboration with the Digital Finance team. Your day moves between the FP&A teams, whose processes and knowledge you make machine-readable; the agents you design, build and improve; and the platforms they run on.

What you learn flows back into our standards and into the enablement of the whole function. How You ll Make an Impact Design and build the FP&A context layer and its governance and operating model: extraction of knowledge from documents, processes and systems into structured, versioned context; the semantic layer with glossary, scopes and precedence rules; ownership, release and quality rules for every context asset Provide retrieval that every AI tool can consume - commodity solutions and self-built agents alike - with permissions intact and sources cited Make FP&A processes agentic: decompose redesigned processes into agent-executable steps with defined inputs, outputs, tools and boundaries, and build the agents that run them end to end Develop reusable agents, personas and templates for FP&A - in commodity solutions, with agent frameworks and as custom agents - and reference implementations the business teams can build on Advance harness engineering for our agents: tool and system integrations (finance data models, planning and reporting systems, Microsoft 365), execution environments, feedback loops and monitoring of behaviour and cost Deploy and operate your solutions along our governance framework for in-Finance-developed applications, in close collaboration with the Digital Finance team - with security, data privacy and Responsible AI by design Act as technical sparring partner for the FP&A community: answer questions on context, tools and agents, review what colleagues build and support them where they get stuck Scout and evaluate new tools, features and solutions, prototype quickly and recommend what FP&A should adopt Have fun building cool, innovative stuff with great people - and make sure the team around you has it too