Manager Agentic AI (m/f/d) at MediaSaturn Deutschland GmbH
85053 Ingolstadt, , Germany -
Full Time


Start Date

Immediate

Expiry Date

02 Dec, 25

Salary

0.0

Posted On

02 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

MANAGER AGENTIC AI (M/F/D)

For us „Let’s Go!“ is not just a slogan, it is an attitude. We love technology and we want to excite. We have fun and want to inspire. Our customers and our teams. That’s why we are looking for people who share this spirit. People who are passionate about creating the shopping experience of the future together with 50.000 colleagues across Europe.

ABOUT US

MediaMarktSaturn is Europe’s leading consumer electronics retailer. It sees itself as a partner, daily companion and navigator for its customers in the digital world. Its over 1,000 MediaMarkt and Saturn stores are closely integrated with their online shops. MediaMarktSaturn has a total headcount of more than 50,000.

Responsibilities

Strategic Leadership

  • Architecture and development of complex multi-agent systems orchestrating business processes across supply chain, customer touchpoints, and sales operations
  • Leading technical discussions with project and product management and senior stakeholders to shape AI strategy and roadmap
  • Development of performance evaluation frameworks for AI agents, including business impact measurement and ongoing optimization
  • Driving adoption of advanced technologies such as MCP, A2A protocols, and Google ADK organization-wide
  • Mentoring team members and establishing best practices for AI agent development

Advanced Technical Delivery

  • Development of advanced AI agents for complex customer interactions and internal business processes
  • Design of scalable data pipelines and analytics systems to support real-time AI agent decision-making
  • Implementation of modern backend architectures using TypeScript and Python, including seamless frontend integrations
  • Optimization of Google Cloud Platform deployments for scalability, performance, and reliability
  • Prototyping emerging AI agent capabilities and translating research into practical business solutions
  • Ensuring security, compliance, and ethical standards in all deployed AI agent systems
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