AI Engineer (m/f/d)

130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200+ people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it.

Role Overview:

Are you passionate about AI and eager to see how it transforms the world’s leading insurance brand? Join Allianz Services as an AI Engineer (m/f/d) and dive into groundbreaking AI projects within our Data Analytics Solutions team. Collaborate with a dynamic, international team to design, build, and productionize agentic AI systems that deliver measurable business outcomes. Partner closely with the Business Owner to translate goals into working agentic solutions with clear SLAs, governance, and ROI to truly “Make AI Happen.”  

What you do: 

• Design and implement cutting-edge ML models and LLM-powered applications, focusing on robust system design, RAG architectures, and complex workflow automation.
• Architect and implement agentic AI solutions end-to-end: task decomposition, planning, tool-use/function-calling, memory/state management, and multi-agent orchestration.
• Develop and deploy a diverse range of models, transitioning seamlessly between classical machine learning (e.g., LightGBM, XGBoost, Scikit-Learn) for structured data and state-of-the-art LLMs for unstructured text and generative tasks.
• Design comprehensive evaluation frameworks and feedback loops, including offline/online testing, regression suites, and human-in-the-loop systems to ensure model accuracy and reliability.
• Create secure and robust integrations between AI models and internal APIs, databases, and SaaS systems, ensuring strict authorization and scoped access.
• Optimize AI services for latency, reliability, and cost-efficiency using techniques like caching, streaming, batching, and circuit breakers.
• Implement enterprise-grade security measures, including prompt injection defenses, comprehensive audit logging, and compliance with data privacy standards.
• Partner with Data Scientists, Platform Engineers, and Product Managers to turn conceptual models into shipping enterprise capabilities.
• Write high-quality, testable code and maintain CI/CD pipelines; produce clear technical documentation and operational runbooks to ensure long-term maintainability. 

What you bring: 

• 3–5 years of professional experience delivering end-to-end ML or LLM projects, moving from initial data preparation to production deployment and monitoring.
• Expert-level Python programming and software engineering fundamentals (unit testing, type hinting, packaging, and asynchronous programming).
• A solid understanding of the machine learning product lifecycle and hands-on experience with MLOps practices.
• Practical experience with LLM orchestration frameworks: PydanticAI (preferred), LangChain, LangGraph, AutoGen, CrewAI or equivalent. 
• Proficiency in CI/CD automation (GitHub Actions, Jenkins) and containerization (Docker, Kubernetes).
• Hands-on experience with at least one major cloud platform (Azure preferred), with hands-on experience with MS AI Foundry and MosaicAI.
• Experience implementing service monitoring, including structured logging, tracing, and performance metrics.
• A demonstrable ability to coordinate with cross-functional teams and the self-motivation to drive delivery within an agile environment.
• We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team. 

What we offer: 

• We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
• We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
• From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
• Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.