Lead AI Systems Engineer (All Genders)

We are looking for an experienced Lead AI Systems Engineer to lead the design implementation and governance of enterprise AI platforms across our organisation.

In this role you will own the end-to-end engineering lifecycle of enterprise AI technologiesincluding Microsoft Copilot Google Gemini Microsoft Power Platform and Workatoensuring they are secure scalable and aligned with enterprise architecture security standards and regulatory requirements.

Working at the intersection of Engineering Security Architecture Data and Business teams you will help shape our enterprise AI strategy while enabling responsible AI adoption through modern automation and AI technologies. This is an opportunity to influence how AI is deployed across the organisation and deliver solutions that improve productivity collaboration and business outcomes.

What Youll Do

As our Lead AI Systems Engineer youll lead the engineering deployment and continuous improvement of enterprise AI platforms. Youll design secure and scalable AI solutions build integrations between enterprise systems and establish governance standards that support responsible AI adoption.

Working closely with Security Architecture Legal Privacy Data and Business teams youll ensure AI platforms comply with organisational policies and regulatory requirements while delivering measurable business value. Youll also mentor engineers establish technical standards evaluate emerging AI technologies and contribute to the organisations long-term AI roadmap.

What Will Make You Successful

Youll thrive in this role if you enjoy solving complex technical challenges and translating business needs into scalable AI solutions. Youll be comfortable working across multiple disciplines influencing stakeholders and balancing innovation with governance and security.

Were looking for someone who is:

• Strategic and forward-thinking with the ability to shape enterprise AI adoption.
• A collaborative leader who enjoys mentoring others and establishing engineering best practices.
• An excellent communicator capable of explaining complex technical concepts to a wide range of audiences.
• Passionate about continuous learning and keeping pace with the rapidly evolving AI landscape.
• Comfortable working in cross-functional matrixed environments with Engineering Security Legal Privacy Data and Business teams.
• Accountable proactive and committed to delivering secure high-quality enterprise solutions.

Our Technology Stack: Our AI ecosystem includes technologies such as:

• Microsoft Copilot & Copilot Studio
• Google Gemini & Vertex AI
• Microsoft Power Platform (Power Automate Power Apps Power BI)
• Workato
• Azure (preferred) AWS and Google Cloud Platform
• REST APIs & Enterprise Integration
• Python PowerShell JavaScript / TypeScript and C#
• Docker Kubernetes & CI/CD
• AI Security Identity & Access Management and Data Governance

Qualifications :

Required Experience:

• 7 years experience in Platform Engineering Cloud Engineering Systems Engineering Software Engineering or a related technical discipline.
• At least 3 years experience implementing or supporting enterprise AI automation or productivity platforms.
• Hands-on experience with at least two of the following:
  • Microsoft Copilot (M365 or Copilot Studio)
  • Google Gemini
  • Microsoft Power Platform
  • Workato
• Experience designing secure enterprise solutions using Identity and Access Management (IAM) principles.
• Strong experience integrating enterprise applications using APIs web services and automation technologies.
• Knowledge of Azure AWS or Google Cloud Platform.
• Experience implementing enterprise security controls such as OAuth RBAC Conditional Access and Data Loss Prevention (DLP).
• Excellent communication and stakeholder management skills with the ability to engage both technical and non-technical audiences.
• Fluent English.

Desirable Experience

Experience in one or more of the following would be advantageous:

• Azure AI Foundry or Google Vertex AI
• Microsoft Power Apps Power BI Dataverse or AI Builder
• Infrastructure as Code (Terraform or Bicep)
• Docker Kubernetes CI/CD pipelines or DevOps practices
• Python PowerShell C# JavaScript or TypeScript
• Prompt engineering Retrieval-Augmented Generation (RAG) vector databases or agentic AI frameworks (e.g. LangChain AutoGen CrewAI)
• Enterprise integration platforms or iPaaS technologies
• AI platform governance observability and operational monitoring
• Experience working within regulated industries or government environments
• Knowledge of compliance frameworks such as GDPR the EU AI Act DORA ISO 27001 FedRAMP or CMMC
• Experience leading technical teams or mentoring engineers
• A degree in Computer Science Information Systems Artificial Intelligence or a related discipline (or equivalent practical experience)
• German language skills

Why Join Us

This is an opportunity to help define the future of enterprise AI within a global organisation. Youll work with cutting-edge technologies influence strategic technical decisions and play a key role in enabling secure responsible AI adoption at scale.

Youll collaborate with experienced engineering and business teams solve meaningful technical challenges and help shape the next generation of AI-powered ways of working.

Additional Information :

Headquartered in Munich with offices across Madrid Krakow Wroclaw London and Vienna we collaborate because we genuinely love working together - so youll be at the heart of an incredible multinational team. We trust each other to get the job done which means youll benefit from hybrid working spending 60% of your time in the office and 40% at home. Theres an option to work for 20 days abroad in approved countries too.

Add to that development opportunities that help you to shape your own career path excellent training and support wellbeing offers subsidised transport or bike leasing plus 20% discount across all our products and youll begin to get a sense of what sets us apart. Find out more about the specific benefits at your local office in our blog posts.

A note on compensation: We believe in being transparent about salary ranges. The range shown reflects the full scope that the role can grow into over time depending on experience skills and impact. Most offers are positioned around the midpoint of the range ensuring a fair and consistent approach across our teams.

At zooplus we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.

#LI-Hybrid

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1