About the role
About The Company AXA is a globally recognized leader in the insurance industry, committed to providing innovative and comprehensive insurance solutions to individuals and businesses worldwide. As part of the AXA Group, a multinational insurance firm with a strong presence across Europe, North America, and the Asia-Pacific region, AXA Deutschland serves as one of the largest primary insurers in Germany, managing the insurance needs of approximately 8 million customers. The company prides itself on its customer-centric approach, technological innovation, and commitment to sustainability. AXA fosters a dynamic work environment that encourages creativity, diversity, and continuous learning, making it an attractive employer for professionals seeking meaningful and impactful careers in the insurance sector.
About The Role As a Data Innovation Lab professional at AXA, you will be instrumental in driving the transformation of our insurance business through data and artificial intelligence. You will be part of the interdisciplinary "AI Business Capabilities" team within the Data Innovation Lab, focusing on transforming promising AI experiments into stable, production-ready systems. Your role involves collaborating closely with data scientists, software engineers, and business experts to develop innovative AI solutions that deliver tangible value to our core operations. You will oversee the deployment, monitoring, and optimization of in-house developed machine learning and AI applications, ensuring their reliable operation in a production environment. This position offers the opportunity to work on cutting-edge AI and MLOps projects, contributing directly to the evolution of our digital insurance offerings and operational efficiency.
Qualifications To succeed in this role, you should possess strong programming skills in Python, with experience in frameworks such as FastAPI, Pydantic, Pydantic AI, Celery, Polars, PyTorch, and Transformers. A solid understanding of deploying and operating AI systems using tools like Docker, Kubernetes, Helm, and cloud platforms such as AWS is essential. Familiarity with MLOps and LLMOps practices, including monitoring and incident management with tools like Grafana and OTEL, is highly desirable. You should have experience in developing workflows based on large language models, including agent-based systems, prompting strategies, and tools like Mlflow and Langfuse. Knowledge of SQL and Typescript is beneficial. Additionally, a willingness to understand insurance processes and business contexts is important for tailoring AI solutions effectively. Candidates should demonstrate a commitment to sustainable software development practices, including test-driven development, clean code, and thorough code reviews. Experience in project initiation from ideation to deployment, as well as the ability to navigate complex IT landscapes, will set you apart.
Responsibilities Your primary responsibilities will include supporting project teams in transitioning AI experiments into production environments, ensuring seamless integration and operational stability. You will design and implement reusable software components, services, and infrastructure by recognizing commonalities across different AI applications. Continuous learning about new topics and evolving IT landscapes will be crucial as you connect technical expertise with business understanding to develop practical solutions for operational units. You will operate, monitor, and optimize in-house AI and machine learning applications in production, managing performance tuning, incident response, and site reliability. Collaboration with cross-functional teams to improve deployment pipelines and system robustness will be a key aspect of your role. You will also contribute to establishing best practices in AI deployment and operational management, fostering a culture of innovation and continuous improvement within the team.
Benefits At AXA, we value our employees and offer a range of benefits to support your professional and personal growth. You can enjoy flexible working hours within a 38-hour workweek, complemented by a Gleitzeit (flexitime) model, 30 vacation days plus additional days off during Christmas and New Year’s. We support a hybrid work environment with 60% home-office options and the possibility to work remotely from abroad. Our compensation package is competitive, including a fair salary, company pension schemes, and asset-building benefits. You will have access to our modern data infrastructure and technology stack, enabling you to work on innovative projects with the latest tools. We also provide extensive training and development programs to foster your skills and career advancement. Additional perks include social benefits, health programs, and a collaborative, inclusive workplace culture that celebrates diversity and encourages open communication.
Equal Opportunity
AXA is committed to fostering an inclusive and diverse work environment where all employees are valued and respected. We welcome applications from individuals of all backgrounds, regardless of gender, ethnicity, sexual orientation, disability, or other personal characteristics. We believe that diversity drives innovation and creativity, and we strive to ensure a fair and accessible recruitment process. If you require support during the application process, please contact our recruiting team. We encourage candidates with disabilities to apply and will provide reasonable accommodations to assist you throughout the hiring process. At AXA, everyone has the opportunity to grow and succeed, and we look forward to welcoming talented individuals who share our values and commitment to excellence.
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