## Company Description You’ll join as an AI (Platform) Engineer in the young, enthusiastic Data Science Lab team within the AI Excellence Center of 30+ highly skilled and energetic colleagues. As part of the AI community, you’ll work closely with various specialists, including business stakeholders, domain experts, data engineers, software engineers, mathematicians, and data scientists. In our team, we work together to explore, develop, and use the newest GenAI technologies. Together, we drive KPN toward becoming a truly AI-driven organization. Ready to take your career to the next level? ## Job Description In this role, you’re the driving force behind developing reusable building blocks for the whole company to build their GenAI use cases. You’ll leverage the Azure cloud technology stack and cutting-edge tools to design and implement solutions that are scalable, reliable, secure, and production ready. Your key focus will be on: - Developing and maintaining our central GenAI Gateway (LLM Gateway) on Azure, integrating both OpenAI and non-OpenAI models (Anthropic, Mistral, Llama, etc.) - Managing the complete lifecycle of LLM deployed models. - Implementing CI/CD pipelines using Azure DevOps for automated deployments and testing. - Defining priorities and influencing the GenAI Lab roadmap. - Operationalizing and integrating AI capabilities into business processes, IT systems, and data platforms. - Collaborating continuously with team members, domain experts, and business stakeholders to refine and implement the most effective solutions. ## Qualifications You’re a hands-on engineer who thrives in cloud-native environments and is passionate about GenAI technologies. You’re analytically strong, carry a strong sense of responsibility, and excel at bridging the gap between technical and non-technical stakeholders. You’re eager to learn, adaptable, and enjoy working in a fast-paced, innovative environment. To be successful in this role, you bring: - At least 5 years of experience as an AI/ML Engineer, Cloud Engineer, or similar role - Master’s degree in a quantitative domain, such as Computer Science, Software Engineering, Data Science, or related field - Strong proficiency in Python for developing GenAI applications and automation - Solid experience with Azure cloud services. - Expertise in Infrastructure-as-Code (Terraform, Bicep, or ARM templates) - Experience building production-grade GenAI applications. - Knowledge of vector databases (Azure AI Search) - Experience with containerization and orchestration (Docker, Kubernetes/AKS) - Deep knowledge of Azure DevOps for CI/CD pipelines, version control, and release management - Excellent understanding of software engineering best practices including coding standards, code reviews, testing, security, and observability Nice to ho have to be a success in this role: - Hands-on experience deploying and managing multiple LLM providers (OpenAI, Anthropic Claude, Azure OpenAI, open-source models) - Experience with LLM Gateway patterns and API management at scale - Familiarity with API design patterns (REST, streaming, WebSocket’s) and asynchronous processing (message queues, event-driven architectures) - Understanding of AI governance, monitoring, and observability tools (e.g. Azure Monitor, Application Insights, Dataiku, LangSmith, or Openlayer) - Working knowledge of LangChain and other GenAI orchestration frameworks - Knowledge of semantic caching and optimization techniques for LLM applications - Experience with authentication and authorization patterns (OAuth2, API keys, Azure AD) ## Additional Information As an employer, we have a lot to offer you. Here’s what you get from us: - A gross monthly salary starting from € 5.190 to a maximum of € 7.803, depending on your work experience, based on a 40-hour workweek. - A guaranteed 13th-month salary: part of it is paid out monthly, and part in January of the following year. Or you can allocate it towards a FLEX & BOOST goal of your choice! Click [here](https://jobs.kpn.com/arbeidsvoorwaarden) to learn more. - Annual individual and collective salary increases according to our collective labor agreement (CAO). - € 1,500 per year in a personal development budget that you can use at your discretion for training, coaching, or courses. - Flexible leave days: our employees can (in consultation with their manager) decide how they want to handle their leave. - A healthy work-life balance, with 2 days in the office and 3 days working from home, transition leave, and the option to swap holidays for ones that align with your religious or cultural preferences. - A home office setup workshop to optimize your remote workspace, including a mobile phone and laptop. - 50% discount on our products and services, so you can enjoy affordable internet, calls, and streaming. - Excellent travel reimbursement: full coverage for public transport or € 0.23 per kilometer if you travel by car. Prefer cycling? You can receive € 0.40 per kilometer. - The option to purchase a lease bike co-funded by KPN (with a permanent contract): whether it’s a city bike, e-bike, racing bike, or speed pedelec, you get to choose. - Outstanding pension benefits: a total contribution of 23% of your pensionable salary, with KPN contributing 16% and you contributing 7%. Would you like to learn more? Feel free to contact our recruiters Adumobia Rogers via E-mail at adumobia.rogers-noteboom@kpn.com At KPN, we have recruitment talent that collaborates smartly and wins together. Unsolicited acquisition regarding this vacancy is not appreciated.