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Synvert Consulting GmbH VERIFIED EMPLOYER

AI Engineer (m/f/d).

Data Science & ML Full-Time

AI Engineer (m/f/d): our view in 3 lines...

  • The Role:This role is for an engineer who designs and builds generative AI and machine learning solutions in cloud and on-premises environments for clients across industries.
  • The Person:The person will design, develop and optimise AI and GenAI solutions, integrate GenAI components into existing architectures, build AI platforms, create prototypes, and define AI governance and security requirements.
  • Requirements:The ideal candidate has a university degree in a STEM field, at least 2 years of hands-on experience in AI, GenAI, or data-engineering environments, and strong knowledge of machine-learning pipelines, model deployment, or LLM integration.

About the role

About synvert a GlobalLogic company

synvert a GlobalLogic company is an innovative consulting firm with over 550 consultants, specializing in Cloud Data & AI. With more than 30 years of experience, synvert has completed over 3,000 successful projects for more than 250 clients across Europe and is known for long-term partnerships that typically last over 10 years.

Your Tasks

  • Analysis, design, development, and optimization of AI and GenAI solutions in cloud and on-premises environments for clients across various industries
  • Integration of GenAI components (e.g., LLMs, embeddings, vector databases) into existing architectures, as well as migration of AI workloads to cloud or hybrid platforms
  • Building and further development of AI/GenAI platforms (e.g., for model hosting, prompt pipelines, retrieval-augmented generation [RAG], MLOps/LLMOps)
  • Implementation of AI-based use cases using modern cloud services, machine-learning frameworks, and GenAI APIs
  • Creation of prototypes, proof of concepts, and showcases to evaluate new technologies and architectures
  • Design and documentation of AI governance and security requirements, such as Responsible AI, access concepts, and model monitoring
  • Medium-term assumption of (partial) project management responsibilities as well as planning and delivery of workshops, training sessions, and client presentations on AI/GenAI

What do we expect from you?

  • University degree in a STEM field or a comparable qualification
  • At least 2 years of hands-on experience in AI, GenAI, or data-engineering environments, ideally with cloud platforms such as Azure, AWS, GCP, Snowflake, or Databricks
  • Strong knowledge of machine-learning pipelines, model deployment, or LLM integration (e.g., OpenAI/Azure OpenAI Services, Hugging Face, Vertex AI, Bedrock)
  • Ideally experience with CI/CD principles, MLOps/LLMOps, and infrastructure as code (e.g., Terraform)
  • Experience in data provisioning, processing, and connecting data sources (e.g., for RAG scenarios), as well as in visualizing results
  • High willingness to learn and enthusiasm for new AI/GenAI technologies, frameworks, and best practices
  • Strong analytical and logical thinking, independent and goal-oriented working style, and strong team skills
  • Language skills:
    • German: C1
    • English: B2

What you can expect

Agile company culture and the best team

  • Exciting clients and international projects with real impact
  • A diverse, global team bringing together different perspectives
  • Plenty of room for your own ideas and entrepreneurial thinking
  • Regular after-work events such as summer parties, Christmas celebrations, and our legendary “Mexican meetings” – and much more

Continuous development

  • Clear career paths and individual growth opportunities
  • A wide range of training and development programs
  • Support for industry-recognized certifications

Working model

  • Flexible working hours – depending on your project
  • Hybrid work model balancing office and remote work
  • Workation opportunities for greater flexibility and inspiration

Other benefits

  • JobRad bike leasing program
  • Muesli bar and on-site cafeteria
  • Shared Friday breakfast at the office – the perfect start to the weekend
Published November 9, 2026
Location Münster, NW
Category Data Science & ML  
Job Type Full-Time