Job
In this role, you design innovative Agentic AI solutions and orchestrate workflows while shaping hybrid systems, ensuring Azure services integration, and building an internal community.
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Job technologies
Your role in the team
- Lead Expert Agentic AI & Automation: Strategic anchoring of Agentic AI and automation technologies; development of central, innovative systems and components.
- Architecture & Platform: Design and further development of a scalable, modular architecture for new and existing Agentic AI applications; selection of components, definition of interfaces; integration, observability, governance, and maintainability within the overall system; focus on on-premises and hybrid environments; integration of Azure services in collaboration with ZEISS Digital Partners.
- Agent Orchestration & Guardrails: Introduction of agent orchestration, workflow automation, and established guardrails across the entire lifecycle.
- Leverage synergies: Bundle or consolidate existing initiatives to promote company-wide exchange, unlock potentials, and avoid duplication of efforts.
- Enablement & Consulting: Supporting and advising employees in the development of new Agentic-AI solutions – from ideas to secure implementation.
- Community Building: Development, maintenance, and moderation of an internal Agentic AI community for knowledge exchange and open innovation dialogue.
- Technical Development & Integration: Support and integration of pilot projects with scaling potential - on-premises and hybrid - taking into account security policies, data protection, and IP requirements.
- Collaboration in the matrix organization: Close coordination with IT Operations, Software Development, Enterprise Architecture Management, and IT Security; utilization of existing committees (e.g., Enterprise Architecture Management Board, Data Governance Board, IT Security) and proposal of new committees where appropriate.
Our expectations of you
Education
- Education: University degree in a relevant natural science or engineering discipline, e.g., Computer Science, Mathematics, Physics, Mechanical Engineering, Electrical Engineering, or a comparable field.
Qualifications
- Compliance: solid knowledge in handling IP requirements, data protection, and security policies related to AI and automation technologies.
- Expertise: broad knowledge in Machine Learning, Generative AI (GenAI), and Agentic-AI frameworks and patterns, orchestration, and knowledge graphs.
- Technical Skills: in-depth knowledge of Python and C#/.NET, as well as relevant frameworks/tools for agentic orchestration and workflows (e.g., LangChain, LlamaIndex, Autogen, CrewAI, Temporal, Airflow); Guardrails and observability.
- Social skills: excellent communication skills in German and English; high social competence; strong ability for lateral leadership as well as stakeholder management in a matrix organization.
- Presence and Leadership: Ability to tailor complex technical concepts for decision-makers; recognized role model through leadership, responsibility, and clear delegation.
Experience
- Professional experience: extensive background in AI/automation architectures and platform development, including several years focused on LLMs/Generative AI as well as the implementation of agent orchestration (including tool integration and workflow automation).
- Experience: proven expertise in designing and implementing complex Agentic AI solutions, ideally in on-premises or hybrid environments within industrial companies.
- Platform knowledge: experience in building and operating Agentic AI/automation platforms and ecosystems; solid DevOps skills in hybrid infrastructure models with Docker and Kubernetes; close collaboration with ZEISS Digital Partners for cloud integrations.
Benefits
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
ZEISS is a world-leading technology company that is active in the fields of optics and optoelectronics. In the last financial year, ZEISS generated sales revenues of more than 6.4 billion euros through its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (as at 30 September 2019).
- 50-249 Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Industry, Production
Employer reviews
- Team culture
- 4.0
- Working conditions
- 4.6
- Career growth
- 3.6
- Engineering
- 2.7
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