AI Trainer responsible for delivering training on AI and Cloud technologies with flexible scheduling. Engaging participants through webinars and workshops for an international media organization.
About the role
- Lead Expert in Agentic AI & Automation driving digital transformation at ZEISS. Building advanced systems, supporting employee development, and ensuring compliance in technology implementation.
Responsibilities
- Strategically anchor Agentic AI and automation technologies: design and establish central, technologically advanced systems and components with a high degree of innovation
- Design and evolve a scalable, modular architecture for new and existing Agentic AI applications
- Select suitable components, define interfaces, and ensure integration, observability, governance, and maintainability across the overall system
- Emphasize on-prem and hybrid environments; integrate Azure services in collaboration with ZEISS Digital Partners
- Introduce agent orchestration, workflow automation, and established guardrails across the entire lifecycle
- Consolidate and align existing initiatives to promote company-wide exchange, unlock potential, and avoid duplicated efforts
- Support and integrate pilot projects with scaling potential—both on-prem and hybrid—always considering relevant security policies, data protection requirements, and company-specific IP needs
- Leverage existing governance bodies (e.g., Enterprise Architecture Management Board, Data Governance Board, IT Security) and propose new committees where appropriate
Requirements
- University degree in a relevant natural science (e.g., Computer Science, Mathematics, Physics), engineering discipline (e.g., Mechanical Engineering, Electrical Engineering), or a comparable field
- Many years of professional experience in AI/automation architectures and platform development
- At least several years specifically focused on LLMs/Generative AI and the introduction of agent orchestration (including tool integration and workflow automation)
- Proven expertise in designing and implementing complex Agentic AI solutions, ideally in on-prem/hybrid environments within industrial companies
- Solid knowledge of IP-related requirements, data protection, and security policies related to AI and automation technologies
- Broad expertise and experience in relevant disciplines such as Machine Learning, Generative AI (GenAI), Agentic AI frameworks and patterns, orchestration, and knowledge graphs
- Deep proficiency in Python and C#/.NET and familiarity with relevant frameworks and tools for agent orchestration and workflows (e.g., LangChain, LlamaIndex, Autogen, CrewAI, Temporal, Airflow)
- Experience building and operating Agentic AI/automation platforms and ecosystems
- Strong DevOps skills in hybrid infrastructure models using Docker and Kubernetes
- Comprehensive knowledge of on-prem and hybrid infrastructure models; active collaboration with ZEISS Digital Partners for cloud integrations
- Excellent communication skills in German and English
- High social competence and a pronounced ability for lateral leadership as well as stakeholder management in a matrix organization
- Ability to present complex technical concepts appropriately tailored to decision-makers and stakeholders
Benefits
- Support and advise employees in developing new Agentic AI solutions—from ideation to secure implementation
- Build, maintain, and moderate an internal Agentic AI community to facilitate knowledge transfer and foster an open innovation dialogue
- Close coordination with IT operations, software development, Enterprise Architecture Management, and IT Security; leveraging existing governance bodies
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