AI Python Technical Lead_2232

Qualifications & Experience

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 6 - 8 years of overall IT experience, with 2-4 years in an GenAI role.
• Proven experience designing and implementing enterprise-scale solutions across multiple domains such as data platforms, cloud, integration, and application modernization.
• Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), including cloud-native services.

Role & Responsibilities

• Define a GenAI solution, ensuring scalability, security, interoperability, and future readiness.
• Utilize advanced Python skills to support and enhance AI use cases, ensuring the efficient and effective implementation of AI solutions.
• Develop and execute comprehensive test scripts using PyTest to ensure the reliability and accuracy of AI models and applications.
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI capabilities into existing systems and workflows.
• Analyze and optimize AI algorithms for performance and scalability, ensuring they meet business requirements.
• Stay updated with the latest advancements in AI and machine learning technologies and apply them to improve existing solutions.
• Provide technical expertise during architecture reviews, PoCs, AI pilots, and enterprise-scale implementations, ensuring measurable business value.

Ensure compliance with security, data privacy, regulatory, and enterprise governance standards, including model governance, data lineage, and auditability.

Must-Have

• Python: Advanced proficiency with extensive experience in writing efficient, maintainable, and scalable code. Demonstrated ability to solve complex problems using Python.
• PyTest: Basic experience in writing and executing unit tests, with a fundamental understanding of test-driven development practices.

Good-to-Have

• Cloud Computing: Familiarity with cloud platforms and services, with hands-on experience in deploying and managing AI applications in a cloud environment.
• Azure: Experience with Microsoft Azure, particularly in using its AI and machine learning services.
• APIs: Knowledge of designing, developing, and consuming APIs, particularly RESTful APIs, for integrating AI solutions with other systems and applications.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.  

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. 

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. 

Join us. Let's care for tomorrow. 

Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz‘ company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.