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Senior AI Engineer

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Siemens AG Österreich

Job

  • Level
    Senior
  • Job Field
    Data, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Vienna
  • Working Model
    Onsite

    • Job Summary

    In this role, you will develop end-to-end AI solutions from data pipelines to LLM applications, implement modern MLOps practices, and lead projects from concept to deployment while collaborating with an international team.

    Job Technologies

    Your role in the team

    • We are seeking a highly skilled and motivated Senior AI Engineer to join our team.
    • The ideal candidate combines strong software engineering fundamentals with hands-on experience building and deploying AI systems in real production environments - whether that background comes from machine learning, data science, or backend/platform engineering that grew into AI.
    • This role is for builders.
    • You will design and ship end-to-end AI solutions - from data and retrieval pipelines through model and agent orchestration to the interfaces real users touch.
    • We value people who take ownership of a problem, communicate clearly across technical and business audiences, and thrive in a collaborative, international team.
    • Solution Development: Design, develop, and deploy end-to-end AI solutions - RAG and retrieval pipelines, LLM-based applications, agentic workflows, and classical ML where it's the better tool - to improve Siemens processes and products.
    • Engineering Excellence: Bring production-grade practices to AI: clean code, testing, CI/CD, containerization, observability, and MLOps/LLMOps for evaluation, monitoring, and safe iteration.
    • Project Ownership: Lead initiatives from concept to deployment, translating business requirements into scalable technical solutions and ensuring timely delivery aligned with business objectives.
    • Rapid Delivery: Work in a lean, MVP-driven way - prototype fast, validate with real users, then harden what proves valuable.
    • Collaboration: Work closely with an international team of diverse backgrounds - engineers, product managers, domain experts, and business stakeholders - to integrate AI solutions into existing systems and platforms.
    • Communication: Clearly articulate complex technical concepts to non-technical stakeholders.
    • Proactively raise concerns, suggest alternatives, and engage in constructive debate when appropriate.
    • Mentorship & Knowledge Sharing: Mentor colleagues, share reusable patterns and reference architectures, and contribute to the overall skill development of the team.

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    Our expectations of you

    Education

    • Degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, or a related field - or equivalent practical experience.

    Qualifications

    • A strong track record of shipped systems counts as much as a formal qualification.
    • Nachweisliche Fähigkeit, Lösungen von der Erkundung bis zur Produktion zu bringen – nicht nur Prototypen und Notebooks.
    • Demonstrated ability to manage and deliver complex projects with multiple stakeholders.
    • Strong programming skills in Python; additional strength in TypeScript/Node.js, C#, Java, or Go is a plus, especially for building services and user-facing applications.
    • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and classical ML/NLP fundamentals.
    • Exposure to MLOps/LLMOps practices: versioning, deployment pipelines, tracing, evaluation, and monitoring of AI systems in production.
    • Version control and collaborative engineering practices (GitHub/GitLab).
    • Nice to have: Big Data and analytics platforms (Snowflake, Spark, Databricks), data visualization, enterprise platforms (Microsoft 365 / SharePoint, SAP, Salesforce), or a research background with publications.
    • Starke verbale und schriftliche Kommunikationsfähigkeiten:
    • Ability to present ideas concisely and directly in international business contexts.
    • Comfort proactively raising concerns, suggesting alternatives, and engaging in constructive debate.
    • Neugier auf die Geschäftsdomäne, nicht nur auf die Technologie – die besten KI-Lösungen entstehen von Ingenieuren, die das Problem tiefgreifend verstehen.
    • Unabhängiger Arbeitsstil mit proaktivem Ansatz bei der Problemlösung.
    • High level of ownership and accountability for project outcomes.
    • Excellent teamwork and collaboration abilities.
    • Effective project management and organizational skills.
    • Fluent English required. German or Portuguese is beneficial but not mandatory.

    Experience

    • 5+ years in software engineering, machine learning engineering, or data science roles, including meaningful hands-on experience with modern AI/LLM technologies.
    • Practical experience with LLM-based systems: prompt design, RAG architectures, vector search and embeddings, structured output, and evaluation.
    • Erfahrung mit mindestens einem agentic oder LLM-Framework (z. B. LangChain/LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, Microsoft Agent Framework) und ein Verständnis dafür, was erforderlich ist, um Agenten zuverlässig zu machen, anstatt nur beeindruckend.
    • Experience with cloud-native development (Azure preferred; AWS or GCP equally welcome), including containerization (Docker/Kubernetes) and CI/CD.
    • Experience designing and working with APIs, data stores, and integration layers (SQL and NoSQL; e.g., PostgreSQL, MongoDB, Azure AI Search, or comparable).
    • Experience bridging communication between global teams and navigating cultural differences in professional settings.

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    What we offer

    • At Siemens, we are committed to making real what matters.
    • You will work on AI that reaches real users within one of the world's most innovative technology companies - with access to modern AI tools, a strong engineering culture, continuous learning opportunities, flexible working models, and an international, diverse team that will both support and challenge you.
    • We value equal opportunities and welcome applications from people with diverse backgrounds.
    • Applications from candidates with disabilities will be given preference where qualifications are equal.
    • Please attach your CV in English to your application.

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    Benefits

    Higher Take-Home Pay

    Food & Drink

    Health, Fitness & Fun

    Work-Life-Integration

    Topics You Will Work On

    Job Locations

    Map of company locations© OpenMapTiles, © OpenStreetMap contributors

    • Location Vienna

      Austria

    About Your Employer

    Siemens AG Österreich

    Siemens AG Österreich

    Völkermarkter Vorstadt, Graz, Weiz, Innsbruck, Salzburg, Wien, Linz

    At Siemens Austria, we are proud to be one of the leading technology companies in the country. With over 12,500 employees (including our subsidiary companies), Siemens is one of the largest private employers in Austria. We offer our employees top-quality technology products and services, as well as a dynamic work environment that encourages creativity and innovation.

    Description

  • Company Size
    250+ Employees
  • Founding Year
    2001
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Electronics, Automatization, Internet, IT, Telecommunication, Engineering Industry

    • Employer reviews

    by devworkplaces.com

    Total

    (2 Reviews)
    3.5

    • Career Growth

      3.4

    • Culture

      3.7

    • Workingconditions

      4.2

    • Engineering

      2.9
    Show all reviews
    Logo Siemens AG Österreich

    Senior AI Engineer

    Siemens AG Österreich
    Location
    Vienna
    Working Model
    Onsite
    Diversity
    Open for all genders

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