AI Engineer

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.

• Strong 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.