Asks for

The ad says“Drive continuous improvement of development, deployment and monitoring processes (DevOps / LLMOps / AgentOps).”
The ad says“Knowledge about AI project management, delivery, or technological evaluation as well as agile methodologies and DevOps practices”
The ad says“Proven experience (7+ years) in AI, Data Science, Machine Learning, or AI-related architecture/technology projects, preferably within a large enterprise environment”
The ad says“Strong understanding of AI/GenAI lifecycle, enterprise software processes, and governance best practices”
The ad says“Proven experience (7+ years) in AI, Data Science, Machine Learning, or AI-related architecture/technology projects, preferably within a large enterprise environment”
The ad says“Knowledge about AI project management, delivery, or technological evaluation as well as agile methodologies and DevOps practices”
The ad says“Very good knowledge of English, German is a plus.”
The ad says“Experience in IT governance, product management, or AI-related application ownership”
The ad says“Drive continuous improvement of development, deployment and monitoring processes (DevOps / LLMOps / AgentOps).”
The ad says“Profound understanding of current AI technologies (ML models, LLMs, vector databases, RAG methods, modern frameworks)”
The ad says“Proven experience (7+ years) in AI, Data Science, Machine Learning, or AI-related architecture/technology projects, preferably within a large enterprise environment”
The ad says“Profound understanding of current AI technologies (ML models, LLMs, vector databases, RAG methods, modern frameworks)”
The ad says“Experience in IT governance, product management, or AI-related application ownership”
The ad says“Profound understanding of current AI technologies (ML models, LLMs, vector databases, RAG methods, modern frameworks)”
The ad says“Profound understanding of current AI technologies (ML models, LLMs, vector databases, RAG methods, modern frameworks)”

We are expanding our team and are seeking a Team Lead GenAI Platform for our headquarters in Frankfurt am Main. In this role you will own the KION GenAI Platform and its related applications and API services while leading a dedicated team.

We offer:

A company with a bright future: As a listed M-Dax company, we already employ more than 42,000 people in over 100 countries and are thus significantly driving the future of intralogistics while pursuing a clear sustainability strategy
Moving forward together: Standardized and documented feedback process with international career opportunities and individual training opportunities
Individual benefits: Modern IT equipment (also for the home office) & mobile devices, Employee Assistance Program - holistic support program for individual crisis situations, "Deutschlandticket" or parking space, option to lease a company bike, exclusive benefits/discounts for employees
Our basics: flexible working hours, part-time models, option for flexible mobile working from home, attractive remuneration package, company pension scheme, canteen.

Tasks and Qualifications:

Your responsibilities:

Overall responsibility for the KION GenAI Platform and its strategic roadmap, including budget planning.
Ensure a scalable, secure and cost‑efficient service operation using cloud‑native services.
Lead delivery of GenAI use cases from requirements gathering and service provisioning to implementation support and operation.
Ensure reliable platform operations, monitor performance and maintain Service Level Agreement compliance.
Drive continuous improvement of development, deployment and monitoring processes (DevOps / LLMOps / AgentOps).
Ensure secure operation of GenAI services (access control, logging, monitoring and incident management).
Implement and support global KION AI use cases in collaboration with business stakeholders.
Lead, coach and support the professional development of the global team of AI Engineers and platform experts.

What we are looking for:

Master’s degree in computer science, data science, engineering
Proven experience (7+ years) in AI, Data Science, Machine Learning, or AI-related architecture/technology projects, preferably within a large enterprise environment
Profound understanding of current AI technologies (ML models, LLMs, vector databases, RAG methods, modern frameworks)
Experience in IT governance, product management, or AI-related application ownership
Strong understanding of AI/GenAI lifecycle, enterprise software processes, and governance best practices
Knowledge about AI project management, delivery, or technological evaluation as well as agile methodologies and DevOps practices
Experience in creating solutions in a collaborative, cross-functional team environment
Structured, independent, and analytical way of working, as well as a high willingness to learn
Excellent communication, interpersonal, and presentation skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences
Strong problem-solving skills and a proactive approach to identifying and resolving challenges
Experience in managing and mentoring technical teams
Very good knowledge of English, German is a plus.

Does this sound interesting?

We look forward to receiving your online application! Your contact person is Anne-Christin Fritzsche.