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About the Role

Our team supports clients in making strategic decisions regarding AI & Data, from defining AI & Data strategy to implementing large-scale data platforms, visual analytics programs, and introducing smart "Age of With" solutions.

Responsibilities

• Develop and operationalize GenAI and Agentic AI systems.
• Support clients in building scalable, productive solutions.
• Identify potential of GenAI and Agentic AI solutions to create real business value with technical expertise and a focus on business benefits.
• Design and implement LLM-based applications and multi-agent systems in productive environments.
• Take ownership, plan, and structure the approach for implementing GenAI and Agentic AI solutions with your team.
• Independently drive own topics and develop business-relevant GenAI and Agentic AI solutions.
• Prepare complex content understandably in presentations and workshops.
• Design new offerings for our clients.
• Take over the management of sub-projects and the leadership of project teams with increasing experience.

Requirements

• At least three years of professional experience with a focus on conception, introduction, and development of GenAI and Agentic AI solutions, preferably in consulting with a focus on user-centered and innovative solutions (Product Thinking Mindset).
• Successfully completed studies in Business Informatics, Computer Science, Business Engineering, Industrial Engineering, Economics with a focus on Computer Science, or comparable degree programs.
• Practical experience with Python (e.g., frameworks like LangChain, LlamaIndex, Semantic Kernel) as well as SQL.
• Ideally, knowledge of working with cloud data platforms (e.g., Azure, GCP, AWS, Databricks).
• Ideally, good understanding of DevOps, CI/CD, and AIOps/MLOps for the operational implementation of GenAI applications.
• Willingness to travel.
• German (C1) and English proficiency, both written and spoken.

Skills

• GenAI
• Agentic AI
• LLM-based applications
• Multi-agent systems
• Python
• LangChain
• LlamaIndex
• Semantic Kernel
• SQL
• Cloud data platforms
• Azure
• GCP
• AWS
• Databricks
• DevOps
• CI/CD
• AIOps
• MLOps
• Product Thinking Mindset

Location

• Berlin
• Düsseldorf
• Frankfurt (Main)
• Hamburg
• Hannover
• Köln
• München
• Stuttgart

Work Type

• Mobile Working
• Part-time
• Flexible working models
• Trust-based working hours
• EU Remote Working

Experience Level

• Senior

Education Level

• Degree in Business Informatics, Computer Science, Business Engineering, Industrial Engineering, Economics with a focus on Computer Science, or comparable degree programs.

Benefits

• Best-in-class training at Deloitte University and through individual qualification programs and training.
• Comprehensive development opportunities through structured career planning, inclusive leadership, secondment programs, project-based job rotation, and support for social engagement and corporate volunteering.
• Work-life balance through mobile working & part-time, sabbaticals, and family services (e.g., support for relatives in need of care, parental leave counseling, and more).
• Health & Fitness focus through regular health days, collaborations with fitness providers, and support for sports and team events.
• Attractive employer benefits including bike and car leasing, company smartphone for private use, and flexible working models (e.g., trust-based working hours and EU Remote Working).
• Diverse scope for design and active promotion of an inclusive corporate culture (e.g., through our Diversity & Inclusion employee networks).

About the Company

• We help clients make strategic decisions regarding AI & Data.
• Our team supports clients from defining the AI & Data strategy through the implementation of large-scale data platforms and visual analytics programs to the introduction of smart "Age of With" solutions.

Equal Opportunity

• Equal opportunities for everyone: We welcome applications from people who are as diverse as we are – regardless of age, disability, ethnic origin and nationality, gender, religion, sexual orientation, or social origin.