Abrar Admin

zooplus

<div>Company Description 
With over 25 years&rsquo; experience, plus the same enormous passion and ambition we had on day-one, we&rsquo;re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier &ndash; and that&rsquo;s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That&rsquo;s the power of plus. 
Job Description 
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 technologies&mdash;including Microsoft Copilot, Google Gemini, Microsoft Power Platform, and Workato&mdash;ensuring 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 You'll Do
As our Lead AI Systems Engineer, you'll lead the engineering, deployment, and continuous improvement of enterprise AI platforms. You'll 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, you'll ensure AI platforms comply with organisational policies and regulatory requirements while delivering measurable business value. You'll also mentor engineers, establish technical standards, evaluate emerging AI technologies, and contribute to the organisation's long-term AI roadmap.
What Will Make You Successful
You'll thrive in this role if you enjoy solving complex technical challenges and translating business needs into scalable AI solutions. You'll be comfortable working across multiple disciplines, influencing stakeholders, and balancing innovation with governance and security.
We're looking for someone who is:<ul><li>
Strategic and forward-thinking, with the ability to shape enterprise AI adoption.</li><li>
A collaborative leader who enjoys mentoring others and establishing engineering best practices.</li><li>
An excellent communicator, capable of explaining complex technical concepts to a wide range of audiences.</li><li>
Passionate about continuous learning and keeping pace with the rapidly evolving AI landscape.</li><li>
Comfortable working in cross-functional, matrixed environments with Engineering, Security, Legal, Privacy, Data, and Business teams.</li><li>
Accountable, proactive, and committed to delivering secure, high-quality enterprise solutions.</li></ul>
Our Technology Stack: Our AI ecosystem includes technologies such as:<ul><li>
Microsoft Copilot &amp; Copilot Studio</li><li>
Google Gemini &amp; Vertex AI</li><li>
Microsoft Power Platform (Power Automate, Power Apps, Power BI)</li><li>
Workato</li><li>
Azure (preferred), AWS, and Google Cloud Platform</li><li>
REST APIs &amp; Enterprise Integration</li><li>
Python, PowerShell, JavaScript / TypeScript, and C#</li><li>
Docker, Kubernetes &amp; CI/CD</li><li>
AI Security, Identity &amp; Access Management, and Data Governance</li></ul> 

Qualifications 
Required Experience:<ul><li>
7+ years' experience in Platform Engineering, Cloud Engineering, Systems Engineering, Software Engineering, or a related technical discipline.</li><li>
At least 3 years' experience implementing or supporting enterprise AI, automation, or productivity platforms.</li><li>
Hands-on experience with at least two of the following:<ul><li>
Microsoft Copilot (M365 or Copilot Studio)</li><li>
Google Gemini</li><li>
Microsoft Power Platform</li><li>
Workato</li></ul></li><li>
Experience designing secure enterprise solutions using Identity and Access Management (IAM) principles.</li><li>
Strong experience integrating enterprise applications using APIs, web services, and automation technologies.</li><li>
Knowledge of Azure, AWS, or Google Cloud Platform.</li><li>
Experience implementing enterprise security controls such as OAuth, RBAC, Conditional Access, and Data Loss Prevention (DLP).</li><li>
Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences.</li><li>
Fluent English.</li></ul>
Desirable Experience
Experience in one or more of the following would be advantageous:<ul><li>
Azure AI Foundry or Google Vertex AI</li><li>
Microsoft Power Apps, Power BI, Dataverse, or AI Builder</li><li>
Infrastructure as Code (Terraform or Bicep)</li><li>
Docker, Kubernetes, CI/CD pipelines, or DevOps practices</li><li>
Python, PowerShell, C#, JavaScript, or TypeScript</li><li>
Prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, or agentic AI frameworks (e.g. LangChain, AutoGen, CrewAI)</li><li>
Enterprise integration platforms or iPaaS technologies</li><li>
AI platform governance, observability, and operational monitoring</li><li>
Experience working within regulated industries or government environments</li><li>
Knowledge of compliance frameworks such as GDPR, the EU AI Act, DORA, ISO 27001, FedRAMP, or CMMC</li><li>
Experience leading technical teams or mentoring engineers</li><li>
A degree in Computer Science, Information Systems, Artificial Intelligence, or a related discipline (or equivalent practical experience)</li><li>
German language skills</li></ul>
Why Join Us?
This is an opportunity to help define the future of enterprise AI within a global organisation. You'll work with cutting-edge technologies, influence strategic technical decisions, and play a key role in enabling secure, responsible AI adoption at scale.
You'll 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 you&rsquo;ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you&rsquo;ll benefit from hybrid working, spending 60% of your time in the office and 40% at home. There&rsquo;s 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 you&rsquo;ll 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</div>

Lead AI Systems Engineer (All Genders)

Join zooplus and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

zooplus

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Lead AI Systems Engineer (All Genders)