(Senior) Data & AI Engineer (w/m/d)

About Us

Cloud is your world – whether AWS, Microsoft, Google, or SAP? Then you fit in with us! At Public Cloud Group (PCG), we help companies modernize, secure, and future-proof their IT landscapes in the cloud.

Almost 500 cloud experts at 21 locations across Europe are already part of our team – and we are growing. Do you want to contribute your know-how to PCG DACH in a team that is just as crazy about the cloud as you are?

You can learn more about what working with us looks like on our career page.

What it's about?

As a (Senior) Data & AI Engineer (m/f/d) in our hyperscaler-agnostic Data & AI Area, you will be the driving force behind bringing state-of-the-art Machine Learning and Generative AI into real-world application for our clients. You will work as part of our internal delivery team (we have no body leasing) and support future-oriented AI initiatives from the initial creative idea to a stable, scalable architecture.

In this role, you will leverage your expertise in modern cloud structures (AWS, Google Cloud, or Microsoft Azure) to skillfully orchestrate managed AI services such as Vertex AI, AWS Bedrock, or Azure AI Foundry. You will develop intelligent agentic workflows, integrate language models (LLMs), and build sophisticated RAG architectures.

Your goal is to combine technological innovation with craftsmanship and engineering excellence to create measurable added value and bring our clients' visions to life.

What you will do:

• Shaping future-oriented AI solutions: You will be responsible for the design and development of modern machine learning solutions to sustainably solve complex customer challenges.
• Building intelligent GenAI structures: You will design and integrate innovative Generative AI solutions and RAG architectures, and support the development of modern agentic tools.
• Orchestrating modern cloud AI services: You will skillfully use and connect the AI services of leading hyperscalers like Google Vertex AI and Azure AI Foundry to fully exploit technological potential.
• Bridging to production (MLOps): You will not only develop ML models but also ensure their smooth integration into real production systems through professional engineering and operationalization (MLOps).
• Holistic support & consulting: As a trusted technical advisor, you will support our clients from the initial creative ideation (PoC) to the successful productive rollout of their AI use cases.
• Driver of technological trends: You will keep an eye on the AI market, evaluate new technologies with curiosity, and actively develop our "Data & AI Area" through your insights.

What we expect from you:

• Solid project experience: You have several years of experience in IT projects, during which you have dealt intensively with machine learning, AI, and modern data processing.
• Proficiency in cloud environments: You are at home in at least one of the three major hyperscalers (AWS, Google Cloud, or Microsoft Azure) and know how to leverage their potential.
• Routine in Python & Frameworks: You are proficient in Python and bring practical experience with common ML/AI frameworks to our projects.
• Hands-on experience with AI ecosystems: You have actively worked with platforms like Vertex AI, AWS Bedrock, or Azure AI Foundry and implemented solutions within them.
• Enthusiasm for GenAI: You have hands-on experience with LLMs and prompt engineering and have already designed initial agentic workflows (e.g., via LangChain or LlamaIndex).
• Holistic architectural understanding: You understand the fundamentals of API development and cloud architectures to seamlessly and stably integrate AI models into existing systems.
• Strong communication skills: You enjoy conveying complex AI concepts understandably and supporting our clients in their strategic decisions.
• Data Engineering fundamentals: Ideally, you have a solid foundation in SQL or modern data warehouses (e.g., BigQuery, Snowflake) to independently drive data preparation for your models.
• Knowledge of vector databases: You have already had initial contact with vector databases (e.g., Vertex AI Vector Search, Azure AI Search, or pgvector).
• Specialized certifications: You have completed certifications in Machine Learning / AI in Google and Azure or are eager to obtain them with our support. Ideally, you have knowledge of AWS Bedrock.
• Team spirit and drive: You impress with your results-oriented approach and your enjoyment of collaborating with our diverse team of passionate experts.

What's in it for you:

• Pure flexibility: Work the way that suits your life. Remote or in the office, work locations nationwide or in one of our offices in Germany (Magstadt, Darmstadt, Berlin, Munich, Hamburg, Cologne, Ulm, Heidelberg, Frankfurt).
• Workation: Work & discover new places? Use up to 30 days of Workation per year and combine job & adventure.
• Time off: With 30 days of vacation, you can recharge your batteries whenever you need to.
• Your hardware, your choice: Mac, Windows, or Linux – you decide what you prefer to work with.
• Get ahead: Training, labs, and certifications at AWS, Azure, Google & SAP – we boost your cloud know-how.
• Feedback that counts: Regular development and salary reviews so you know exactly where you stand.
• More than basics: choose between Spendit Card, Wellpass, or Deutschlandticket. On top, childcare subsidies and bike leasing as additional extras for your life beyond the laptop.
• Team spirit: Whether team events (alternatively hackathons), summer party, or Christmas party – we celebrate successes together.

Sounds good?

Great, then send us your application via the applicant portal – Don't worry, it takes less than 60 seconds.

We look forward to hearing from you!

At PCG, talent counts, not labels – we warmly welcome applicants of all origins and identities, regardless of gender, nationality, ethnic and social origin, worldview, disability, age, or sexual orientation and identity.