Woodmark Group GmbH

AI Solutions Engineer (m/f/d)

PythonAWSTerraform
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About the opportunity

Job ID

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Interested? Great! Then apply now.

For any questions, simply contact our HR specialist Tabea Discus.

She is happy to be reached at +49 (151) 25677161 or [email protected]

Or send your application directly to [email protected]

We look forward to meeting you!

We value the diversity of our employees as a great asset. It contributes to a positive work environment and especially promotes creative ideas, innovations, and solutions for the topics of the future. Woodmark therefore expressly welcomes applications from all people - regardless of social origin, sexual orientation, age, ethnic origin, nationality, gender, gender identity, disability, as well as religion and worldview or other characteristics.

We make the world better with data

Woodmark Consulting GmbH is one of the leading German IT consulting firms for AI, Data & Analytics. We inspire people through our passion for data & innovation. Living our values of respect, openness, trust, and care ensures an excellent corporate culture and is the foundation of our success.

Use your passion for data & innovation and unlock their potential with us. Together, we create added value for customers, society, and the environment.

What awaits you

About us

Woodmark Consulting GmbH is one of the leading German IT consulting firms for AI, Data & Analytics. We inspire people through our passion for data & innovation. Living our values of respect, openness, trust, and care ensures an excellent corporate culture and is the foundation of our success.

Your diverse range of tasks

Together with your team, you will develop modern AI solutions for our customers – from the initial requirement and cloud architecture to productive deployment. Your focus is on Generative AI, Large Language Models (LLMs), and agent-based applications. In doing so, you combine technical architectural understanding with practical software development and implement solutions primarily on AWS, but also on Azure.

  1. Understanding requirements and designing solutions: Together with our customers and departments, you analyze requirements, identify suitable AI use cases, and translate them into concrete technical solution concepts. You evaluate feasibility, select appropriate technologies, and develop scalable, secure, and economical cloud architectures.
  1. Developing and integrating AI solutions: You develop AI applications based on modern foundation models and cloud services such as Amazon Bedrock. You utilize, among other things, Retrieval-Augmented Generation (RAG), AI Agents, and tool calling. You integrate AI functionalities via APIs and interfaces into existing enterprise systems and ensure that required data is provided securely and reliably. For more complex data requirements, you work closely with our data engineering specialists.
  1. Living cloud engineering and DevOps: You implement your architecture concepts in code yourself. Using Python, infrastructure as code, and modern DevOps practices, you develop automated, reproducible, and maintainable solutions. From the start, you consider requirements for security, performance, monitoring, scalability, and costs.
  1. Taking responsibility: You assume technical responsibility for smaller projects or sub-projects and accompany AI solutions from conception to productive operation. You make sound architectural and technology decisions, question existing approaches, and support less experienced team members as a technical sparring partner.
  1. Communication is the measure of all things: You are always in intensive exchange with: the departments and architects for project-related coordination; your customers, to make architectural decisions transparent and ensure expectation management; your project team, to ensure technical excellence and project success; the Woodmark team, to share knowledge about AI architectures, cloud patterns, and best practices.

Minimum requirements

What you need to get started with us

What you bring to the table

  1. Project experience: You have at least 3 years of practical experience in software development or cloud engineering and ideally have already conceived and implemented AI applications in customer projects. You understand the interplay of applications, data, cloud infrastructure, and AI services and can independently develop technical solutions from them.
  1. Expertise is a given: You possess: Very good knowledge of Python and experience in developing professional software applications; sound practical experience with AWS and the design and implementation of cloud architectures; experience with Generative AI, Large Language Models, and the integration of foundation models into applications, ideally with Amazon Bedrock; knowledge of modern AI architectures and technologies such as RAG, vector databases, AI agents, and tool calling; experience with infrastructure as code, for example Terraform, AWS CDK, or CloudFormation; good knowledge of modern software engineering and DevOps practices, especially Git, CI/CD, automated testing, and deployment; experience with the development and integration of APIs as well as connecting different data sources and enterprise systems; understanding of security, IAM, monitoring, performance, scalability, and cost optimization in cloud environments; ideally additional experience with Azure, container technologies, or AI frameworks such as LangChain, LangGraph, or comparable solutions.
  1. Architectural understanding and hands-on mentality: You can translate business requirements into technical architectures and are simultaneously able to implement them yourself. You think in terms of overall solutions, understand technical dependencies, and value maintainable, secure, and production-ready software.
  1. Intrinsic interest in AI innovations: You actively follow developments around Generative AI and Agentic AI, try out new technologies, and can assess which approaches offer added value in real customer projects.
  1. Stakeholder-oriented thinking moves us forward: You enjoy working with customers, departments, and technical contacts. You can record requirements in a structured manner, consider different perspectives, and communicate complex technical issues in an understandable way.
  1. Support the Making-of-a-Star: You actively support other Woodmarkers in building AI and cloud competencies and share your experience and knowledge within the team.
  1. Fluent German and English skills: You are comfortable in German-speaking projects and can also present technical documentation and architecture concepts in an understandable way in English.

What we offer you

  • Innovation & Agility - In our varied customer projects and communities, you will work with exciting trend topics, tools & technologies.
  • Mobile Work - Thanks to flexible working hours and modern technology, you can work from anywhere – exactly as it fits the customer and your life situation.
  • Participation & Development - You can contribute and share in our success. With Udemy, you have unlimited opportunities for further education.
  • Sport & Fun - We promote health and sponsor your fitness and yoga studio. Our events and celebrations support personal exchange and team spirit.
  • Salary Model & Benefits - Our salaries are market-competitive and particularly attractive thanks to company pension schemes, many non-cash benefits, and special and social benefits.
  • Environmental Protection & Mobility - At Woodmark, you work climate-neutrally. In terms of mobility, we offer you an attractive (electric) company car and job bike model.

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