AI Senior Engineer_736 at Allianz Global Corporate & Specialty SE

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

26 Dec, 25

Salary

0.0

Posted On

27 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Cloud Computing, Data Management, Python, SQL, TensorFlow, PyTorch, Azure AI, AWS AI, DevOps, CI/CD, Data Privacy, Security, Enterprise Architecture, Problem Solving

Industry

Financial Services

Description

About the Job The Data & Analytics Platforms Team (DAP) develops and runs central platforms and data products, which enable the Allianz Operating Entities (OEs) to generate value from data & analytics at scale. The major offering is the Allianz Data Platform (ADP) - a PaaS offering -, which comprises necessary capabilities to store, transfer and analyze data, as well as running data & analytics products. In addition, ADP also serves capabilities for ML (ops) and GenAI / Agentic AI use cases. The AI Senior Engineer will be responsible to shape the future ADP offering (evaluate, design and implement technical platform capabilities), both for Data, Machine Learning and GenAI / Agentic AI offering. Moreover, they will advice local implementation teams how to best apply platform capabilities for effective / efficient local application built / use case implementation. The candidate should bring a deep understanding of cloud computing (data storage, security, and recovery), market leading data platform solutions (e.g. Databricks) and ML / AI / GenAI technologies. What you do Act as a thought leader and expert on AI (ML, LLM, Agentic) and Data Platform capabilities, advising customers and internal teams on the latest technology and valuable implementation strategies within Allianz. Design, build, and test AI and Cloud architectures in an enterprise setup to ensure efficient transfer and storage of large amounts of data, maintaining information accuracy and security during data transfers. Leverage AI capabilities to create high-performing IT services within the existing landscape, troubleshooting and solving technical issues with creativity and prior knowledge. Vet cloud providers and third-party services to ensure high-quality offerings for storage, compute, and LLMs, while creating standard operating procedures and policy documentation for data transfer and storage. Stay updated with developments in AI (ML, LLM, Agentic AI) and cloud computing solutions, providing guidance to cross-functional teams on cloud and AI data access, especially during major transfers, updates, or changes. Serve as the AI & Cloud architect subject-matter expert for the entire department, offering strategic insights and leadership. Ensure adherence to industry standards and best practices in all processes, fostering innovation and efficiency in data management. What you bring Deep understanding of AI (ML, LLM, Agentic) concepts, algorithms, and frameworks, with proficiency in designing and implementing AI solutions that align with business objectives using popular platforms like TensorFlow, PyTorch, Azure AI, and AWS AI. Proficiency in programming languages such as Python and SQL (Javascript/Typescript is plus) Knowledge of cloud infrastructure, software application, and design, with experience using major cloud computing services such as Microsoft Azure, Oracle Cloud Infrastructure (OCI), and Amazon Web Services (AWS). Ability to design scalable and robust enterprise architectures that integrate AI technologies into existing systems, identifying integration points and ensuring interoperability with other enterprise applications, databases, and services. Strong cloud migration and data management skills, emphasizing data privacy and security, along with excellent problem-solving capabilities in a fast-paced work environment. Familiarity with DevOps practices and CI/CD pipelines. Bachelor’s degree in Computer Science, Information Systems, or a related field and relevant industry certifications, such as Microsoft Azure or AWS, are highly desirable; proficiency in English is required. 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.

Responsibilities

The AI Senior Engineer will shape the future Allianz Data Platform offering by evaluating, designing, and implementing technical platform capabilities. They will also advise local implementation teams on effectively applying platform capabilities for local application development.