- Location
- Munich, Bayern, Germany
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Visa
- Not sponsored
- Source
- Recruitee
Description
TYTAN Technologies
The PACE is fast. The expectations are high. The contribution matters. Working at TYTAN is more than a job, this is a mission. We push boundaries, think big, and hold ourselves to the highest standard. Our mission and values guide everything we do, and we're looking for people who are driven by ownership, embrace challenges, and are energized by meaningful work. If you're motivated by impact and thrive in dynamic environments, you'll fit right in.
At TYTAN, we aim to set a global standard in autonomous air defense with AI-driven, cost-efficient systems that counter unmanned aerial threats at scale. We protect people. We protect critical infrastructure. We protect European sovereignty.
We are looking for a hands-on, technical lead for business applications, data and AI. You shape how our teams use AI safely and productively, design the platforms behind it and help draw the future of this area early. You own the application and data landscape and lead the area as it grows with the company, working directly with the Head of IT & Cyber Security.
Your roadmap to make an impact
Design and run AI for the company
Design and run the platform our teams use to build and operate AI solutions, from first use cases to production
Define how models are accessed across the company: identity, logging, quotas and cost transparency
Choose the right model for each use case, from cloud services to self-hosted models
Connect AI to company data safely: retrieval, agents and tool integrations that respect access rights
Own our AI strategy and AI usage policy, including rules per data class
Shape the future early
Draw the target picture for AI, automation and business applications together with enterprise architecture
Evaluate new models, tools and agent frameworks and turn the useful ones into standards
Deliver automation and AI use cases together with our AI & Automation Engineer
Govern AI assistants in our workplace tools: licensing, permissions and data protection
Own business applications
Own our business application landscape, from ERP, finance and HR to engineering and production systems, together with the teams
Keep integrations, systems of record and master data clear across all applications
Steer the roadmap of our business applications and their integrations
Keep the application and tool landscape lean and documented, and decide on new tool requests
Shape data and reporting
Shape company reporting and the data platform behind it
Define data models, data ownership and quality rules with the business teams, so management gets reliable numbers
Drive adoption and access
Support user adoption and training for new applications, which the Head of IT & Cyber Security leads
Contribute to identity and access management: application roles, access rights and joiner, mover, leaver flows