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Tech Manager/Lead AI Engineer (all genders)

Berlin, Dusseldorf, Frankfurt, Hamburg, Munich, Stuttgart

Job Description

As a Tech Manager/Lead AI Engineer, you will join our newly launched Roland Berger AI Lab, where we design innovative and scalable GenAI solutions to create tangible impact for our clients and ourselves. Our mission is to rapidly and securely scale our expertise across clients and within RB. 

Join us in a dynamic role where you will drive the development of (Gen)AI applications for both internal and client-facing projects, establishing yourself as a thought leader in the field. You will lead client strategies and transformation initiatives, creating impactful proof of concepts (PoCs) that showcase the power of (Gen)AI. 

As a key representative of Roland Berger, you will engage in partnership discussions and oversee joint initiatives, staying informed on the latest (Gen)AI developments to identify trends and their implications for our clients. Your effective communication skills will bridge the gap between developers and C-suite executives, providing strategic direction in (Gen)AI technologies while managing complex AI initiatives. 

You will write and maintain high-quality code, develop infrastructure for deploying AI models on platforms like Azure, AWS, or GCP, and mentor junior team members in best practices. Collaborating with business units, you will drive the adoption of data science and AI, delivering measurable impact. If you're ready to shape the future of (Gen)AI, we are looking forward to hearing from you! 

Qualifications

  • University degree (Master's or PhD) with excellent academic achievements in a quantitative or technical field 
  • 5+ years of experience in data science and (Gen)AI solutions 
  • Full-stack expertise in data science, data engineering, and AI product development 
  • Ability to lead and mentor teams with strong project management skills 
  • Proficiency in agile frameworks like Scrum and Kanban, with experience in tools like JIRA 
  • Deep understanding of MLOps/LLMOps best practices and experience with tools like MLflow 
  • Project experience with GPT-based or LLMs and frameworks 
  • Proficiency in handling large-scale data in cloud environments 
  • Exceptional communication skills for engaging technical and non-technical audiences 
  • Excellent communication skills in English; German is a plus  
Benefits

Roland Berger offers all employees in DACH a large variety of benefits - from career development to wellbeing. Here's an overview of the various offers.

Additional Information

Are you a game changer and want to shape the future with us?
Apply Now

Do you have an entrepreneurial mindset with a winning personality? Then we look forward to receiving your application via our website. If you have any questions, don't hesitate to contact me.

Portrait of Lisa Stryz
Sederanger 1
80538 Munich
+49 89 9230-8778
Company information

Roland Berger is one of the world's leading strategy consultancies with a wide-ranging service portfolio for all relevant industries and business functions. We cherish different perspectives and approaches and count on the diversity and authenticity of our employees. Driven by our values of entrepreneurship, excellence, and empathy, we at Roland Berger are convinced that business and society need a new sustainable paradigm that takes the entire value cycle into account. Our cross-competence teams work with our clients to successfully address the challenges of our time, today and tomorrow, across all industries and business functions. If you like to take the initiative and make a difference as part of a team, Roland Berger is the right place for you.

Data protection
Protecting your personal data and complying with relevant data protection legislation is something we take very seriously. Before applying, please consult our Privacy Policy for the Applicant Management Process at Roland Berger Group for detailed information on how we process your application and personal data as well as your rights under the relevant data protection legislation.

Technical support
In case of any technical issues or problems submitting your application please contact: Lara Zolnai (+49 89 9230-8457) or Marco Stettler (+41 43 336 86 03).