(Senior) AI Engineer (m/f/d)

We are the consultants to the world market leaders: highly motivated experts who network with each other to drive digital end-to-end business process solutions forward as a successful team. Together, we strengthen the future of the most impressive companies in the world from mechanical and plant engineering, automotive, life sciences, pharmaceuticals, and chemicals.

 Our excellent reputation with hidden champions opens doors for you to challenging digitalization projects with real scope for design. At cbs, you work in a strong team, quickly take on responsibility, and develop both professionally and personally.

As a (Senior) AI Engineer (m/f/d), you will develop AI-powered automation solutions that run productively in our customers' business processes and provide them with a measurable competitive advantage – from intelligent document processing to agentic systems that autonomously handle process steps. Your technological basis is the SAP Business Technology Platform (BTP) / Business AI Platform in combination with our customers' other cloud and AI platforms. You don't need to know the SAP target system (S/4HANA or ECC) in detail for this yet – we will build the necessary depth with you.

What Awaits You

• You will conceptualize and develop AI solutions that specifically automate manual work in business processes, and integrate them into the existing system landscape via SAP and non-SAP APIs.

• You will develop with Python (e.g., FastAPI, LangGraph) and Node.js/TypeScript (including SAP CAP) and navigate confidently within the respective customer landscape, whether SAP BTP, Hyperscaler, or specialized AI platforms, considering and shaping their framework conditions in the architecture.

• You will be responsible for your solutions from requirements gathering to go-live, including evaluation, monitoring, and further development during operation.

• You will lead customer workshops, present results, and convincingly represent your architectural decisions to our customers.

• You will actively contribute to our Business AI team and help shape our methods, frameworks, and internal products.

What We Wish For

• Very good Python skills, especially in the area of LLM connectivity and orchestration, as well as experience with Node.js (JavaScript/TypeScript) and a good understanding of distributed applications.

• Practical experience with generative AI from projects, research, or personal endeavors. Topics such as Tool Calling, Context Management, structured outputs, and evaluation are familiar to you from application, and you understand how agentic solutions can be built from them.

• The ability to navigate confidently in a dynamic technology field: you independently develop viable solution approaches where established patterns are lacking, critically evaluate new tools, and share your findings within the team.

• A technical degree or a comparable qualification with demonstrable practical experience.

• Openness to SAP technologies and the willingness to delve into BTP and ERP integration scenarios.

• An understanding of the requirements of regulated industries, such as data protection and data sovereignty, which you will naturally incorporate into your solutions.

• Professional demeanor, strong communication skills in German and English, and the enjoyment of taking responsibility in projects and workshops.

Optional: You also bring with you:

• Hands-on experience with the productive operation of agentic or multi-agent systems.

• In-depth knowledge of LLM observability and evaluation pipelines, as well as experience with the design of human-in-the-loop governance in productive systems.

• Knowledge of SAP Fiori/UI5 or modern web frontends (e.g., React).

• Knowledge of business administration processes, especially in the SAP context

Our Benefits:

Training and Development

SAP and Salesforce certifications, Competence Center days, specialized training

Company Health Promotion

Company pension subsidy, additional insurance, various sports activities such as Urban Sports Club, Yoga, etc.

Events

Consultant days, Christmas party, summer party, team events, alumni meetings, anniversary celebrations and trips

Bonuses

Sales revenue sharing, bonus payments for successfully completed projects, attractive salary models, employee referral bonuses

Working Hours

Flexible working time models, mobile working, 30 days of vacation, workation

Equipment

Company mobile phone (iPhone), Notebook / Macbook, Employee PC program, Ergonomic workstations, Free drinks, Communal areas with a feel-good atmosphere

Company Car

Company car including fuel card/mobility allowance, Bahncard, Jobrad (company bike leasing)

Allowances

Subsidies for kindergarten/daycare and extraordinary allowances depending on life situation and length of service

Your Contact Person

Christina Argyriadou

Senior Recruiter

+49 15165577154

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