Allianz is looking for an AI Solutions Engineer to bring advanced AI capabilities into production across one of the world's largest financial-services organizations. You'll partner directly with Operating Entities to translate innovative models into practical, high-impact automation and intelligent solutions.
What You'll Do
- Design, engineer, and deploy AI-driven automation and analytics solutions across multiple business units.
- Productionize machine learning and Agentic systems with high availability, strong controls, and end-to-end observability.
- Implement and maintain compliance, governance, and safeguarding layers, including guardrails, data controls, and responsible AI standards.
- Build and refine MLOps and CI/CD pipelines to ensure fast, secure, and compliant deployment cycles.
- Collaborate closely with security, risk, compliance, legal, architecture, and data governance teams.
- Partner directly with OEs to translate business needs into scalable AI solutions.
- Ensure solutions meet strict financial-services regulatory expectations for data handling, model governance, auditability, and operational resiliency.
- Deliver reusable components, reference architectures, and best practices for enterprise-wide AI adoption.
- Support rollout of central platform solutions like the central Agentic platform.
- Build business-specific use cases on top of existing central platforms.
What We're Looking For
- Hands-on experience deploying AI/ML, GenAI, and Agentic solutions in enterprise environments.
- Strong familiarity with Azure (Azure ML, OpenAI, AKS, App Services) and AWS (SageMaker, Bedrock, Lambda, EKS).
- Significant experience with Databricks, including MLflow, Delta Lake, Feature Store, and production pipelines.
- Solid engineering skills in Python and/or JVM languages; experience building APIs and distributed systems.
- Knowledge of Kubernetes, Docker, infrastructure-as-code (Terraform), and cloud-native architectures.
- Experience delivering AI systems that align with financial-industry regulatory frameworks.
- Strong understanding of compliance, model risk management, data governance, encryption, and access controls.
- Proven ability to implement AI safeguarding measures, including responsible AI guardrails and monitoring.
- Experience with observability and monitoring tools (Datadog, Azure Monitor, CloudWatch, Prometheus).
- Ability to implement drift detection, telemetry, structured logging, and model lifecycle governance.
- A strong sense of ownership and accountability for delivering production-ready systems.
- Excellent communication and stakeholder-management skills.
- Ability to work in cross-functional, distributed teams.
- Customer-centered mindset with a focus on delivering real-world business impact.
Technical Stack
- Azure: Azure ML, OpenAI, AKS, App Services
- AWS: SageMaker, Bedrock, Lambda, EKS
- Data & ML: Databricks, MLflow, Delta Lake, Feature Store
- Languages: Python, JVM languages
- Infrastructure: Kubernetes, Docker, Terraform
- Observability: Datadog, Azure Monitor, CloudWatch, Prometheus
Benefits & Compensation
- Hybrid work model
- Up to 25 days per year working from abroad
- Company bonus scheme
- Pension
- Employee shares program
- Multiple employee discounts
- Career development and digital learning programs
- International career mobility
- Lifelong learning environment
- Flexible working
- Health and wellbeing offers
- Healthcare
- Parental leave benefits
Work Mode
This role follows a hybrid work model.
Allianz Technology is proud to be an equal opportunity employer dedicated to fostering an inclusive work environment for everyone. We embrace individuals of all gender identities and expressions, sexual orientations, ethnicities, ages, nationalities, religions, disabilities, and philosophies of life.
