Ai Python Technical Architect_2232
IN
Qualifications & Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 10–12 years of overall IT experience, with 3–5 years in an Architect or Technical Architect role.
- Proven experience designing and implementing enterprise-scale solutions across multiple domains such as data platforms, cloud, integration, and application modernization.
- Experience with enterprise architecture frameworks such as TOGAF or Zachman (preferred).
- Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), including cloud-native services.
Role & Responsibilities
- Define and oversee the end-to-end architecture of the Solutions, ensuring scalability, security, interoperability, and future readiness.
- Translate business objectives into technical blueprints, reusable solution frameworks, AI reference architectures, and integration standards.
- Design and implement architecture patterns for multi-system integration, API orchestration, data harmonization, and AI-driven workflows.
- Architect GenAI-enabled capabilities such as intelligent assistants, copilots, retrieval-augmented generation (RAG), and automation pipelines.
- Govern solution lifecycle management, versioning, and alignment with enterprise architecture principles, including AI governance and responsible AI standards.
- Collaborate closely with product owners, AI engineers/data scientists, developers, and operations teams to ensure cohesive and scalable solution delivery.
- Evaluate emerging technologies-including GenAI platforms, agentic frameworks, vector databases, and orchestration tools and recommend architectural improvements for performance, scalability, and cost optimization.
- Establish and maintain architecture documentation, AI design patterns, system diagrams, and best-practice guidelines.
- Provide technical leadership 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.
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. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for 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. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of race, 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 employees across functions, Allianz entities and geographies. Therefore, Allianz expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
