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Key Responsibilities

- Design and implement the AI backbone supporting digital delivery across Allianz platforms.

- Configure, train, and orchestrate AI models and agents within enterprise systems and development environments.

- Enable AI-driven automation for gap analysis, requirement refinement, and specification generation in alignment with business needs.

- Ensure traceability, auditability, and compliance of AI-generated outputs in accordance with Allianz standards and regulatory requirements.

- Integrate AI capabilities into existing policy administration, claims, and underwriting systems where applicable.

- Monitor and optimize AI model performance, ensuring accuracy, consistency, and reliability.

- Work with existing enterprise codebases to enable AI-assisted analysis, modernization, and optimization.

- Collaborate closely with Intent Engineers, architects, and business stakeholders to validate and refine outputs.

- Ensure alignment with Allianz enterprise architecture, data governance, and security frameworks.

- Support adoption of AI-native engineering practices within a controlled and compliant environment.

Technical Skills & Experience

AI / LLM Expertise

- Hands-on experience with LLMs such as Claude, GPT, or similar enterprise-grade models.

- Solid expertise in prompt engineering for:

- Code analysis and generation





- Requirement interpretation and refinement

- Output validation and quality assurance

- Experience integrating LLMs within secure enterprise environments and IDEs.

AI Engineering & Governance

- Familiarity with AI-native engineering practices (e.g., Gastown or similar frameworks).

- Experience in building and orchestrating AI agents and workflows in enterprise settings.

- Understanding of model lifecycle management, evaluation, and controlled deployment.

- Exposure to responsible AI practices, including bias mitigation, explainability, and governance.

- Ability to ensure auditability and traceability of AI decisions and outputs.

Software Engineering Foundations

- Strong grounding in:

- API design and integration (REST/GraphQL)

- Microservices architecture

- Event-driven systems and enterprise integration patterns

- Experience working with large-scale, legacy, and modernized codebases.

- Understanding of secure coding practices and enterprise system integration.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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