Quick overview
Job description
At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments.
We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions.
WHY JOIN US
- The software and systems you work on directly protect personnel and defend European and national sovereignty.
- You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms.
- We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing.
About the Team
Your Mission
As OAA Lead, you build the automation and AI capability for operations from the ground up — across production and the back-office. You identify where automation and AI deliver the highest ROI across the entire operation, own the technical delivery end-to-end, and build a team that ships working automations into production, not just prototypes.
Responsibilities
- Map and prioritise automation opportunities across production and back-office — ranked by feasibility, ROI, and implementation risk
- Own end-to-end delivery of automation projects: scoping, design, build, test, production deployment, and monitoring
- Build, mentor, and manage the Automation Engineer and Data/ML Engineer
- Define the team's technical architecture and toolchain — RPA, LLM-based tools, ML models, API integrations
- Work with operational and back-office stakeholders to translate process pain points into deployable solutions
- Own the collaboration boundary with IT and Production Engineering
- Track and report on automation impact: manual hours reduced, error rates, throughput, cost savings
Required Skills
- BSc/MSc in Computer Science, Electrical Engineering, Mechatronics, or Industrial Engineering
- 8–12 years in automation, industrial digitalisation, or AI/ML — covering both operational and business process automation
- Has personally deployed automations in production environments — not just designed or prototyped them
- RPA platforms — UiPath, Power Automate, or equivalent
- ML/AI deployment — model productionisation across structured operational and unstructured back-office data
- Systems integration — API design and data exchange across ERP, MES, and business applications
- People management and technical mentorship
Nice-To-Have
- Experience across both OT (operational technology) and IT/business process contexts
- Industry 4.0 track record — smart factory, MES integration, or similar
- LLM-based tooling — prompt engineering, agent design, document processing workflows
If you're interested in building the future of European Defence with us, and you see yourself reflected on the description above, please send us your CV in English. We're looking forward to meeting you!
SECURITY CLEARANCE
Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.
EQUAL OPPORTUNITY
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.