Solutions Engineer - German/English Speaking

This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community.Allianz Services is where that legacy meets the future.We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still.From core insurance operations to engineering and consulting services, we reimagine how insurance works.We shape it.We are looking for a Senior Solutions Engineer (m/f/d) to join the Data and AI Transformation Engineering team, responsible for designing and building scalable backend platforms that expose AI and automation capabilities as reliable, production grade services.The role focuses on developing API driven systems deployed on Kubernetes, combining AI driven components with deterministic logic to support complex transformation and automation use cases across multiple business units.Implement streaming response patterns (SSE / chunked to enable real-time model output delivery to frontends and downstream systems.Implement authentication and authorisation frameworks (OAuth 2.0, JWT, RBAC, scopes) including service principal patterns for cloud-to-cloud integration across Azure, AWS, and Databricks.Enforce data controls at the API layer - including input sanitisation, output filtering, and guardrails - ensuring responses meet compliance standards before leaving the system.Build audit logging into the API contract so that every request and response is fully traceable for regulatory purposes.Design background job patterns that return immediately to callers while model inference executes asynchronously.Integrate with message queues and event-driven architectures (Azure Service Bus, SQS, Kafka) for pipeline orchestration.Integrate with enterprise monitoring platforms (Datadog, Azure Monitor, CloudWatch) to ensure full-stack visibility.Manage versioned model endpoints, enabling seamless deployment of new model versions without breaking existing API consumers.Develop automated testing strategies for non-deterministic outputs, including contract tests, output validation, and regression benchmarks.Deploy containerised APIs on Kubernetes (AKS/EKS) with health checks, autoscaling, and production-grade reliability.Wrap managed AI services (Databricks Model Serving, Azure OpenAI, AWS Bedrock) behind clean, internal API contracts.University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).~7+ years of experience in backend engineering with Python, with a proven track record of delivering AI/ML, GenAI, and agentic systems into enterprise production environments (beyond prototypes or proofs of concept).~ Hands on experience with cloud based AI services across Azure and AWS, including strong expertise in Databricks (MLflow, Delta Lake, Model Serving).~ Proven experience deploying and operating services on Kubernetes, managing infrastructure using Terraform, and treating observability, structured logging, and monitoring as standard engineering practices.~ Experience working in regulated environments, where auditability, data controls, security, and compliance are core engineering requirements.~ Good level of English (required), other languages (e.G. Spanish or additional European languages) are nice to have.~ We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team.We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl.We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered .Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.Allianz Group is one of the most trusted insurance and asset management companies in the world.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 ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

enabling seamless deployment of new model versions without breaking existing API consumers.Develop automated testing strategies for non-deterministic outputs, including contract tests, output validation, and regression benchmarks.Deploy containerised APIs on Kubernetes (AKS/EKS) with health checks, autoscaling, and production-grade reliability.Wrap managed AI services (Databricks Model Serving, Azure OpenAI, AWS Bedrock) behind clean, internal API contracts.University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience). ~7+ years of experience in backend engineering with Python, with a proven track record of delivering AI/ML, GenAI, and agentic systems into enterprise production environments (beyond prototypes or proofs of concept). ~ Hands on experience with cloud based AI services across Azure and AWS, including strong expertise in Databricks (MLflow, Delta Lake, Model Serving). ~ Proven experience deploying and operating services on Kubernetes, managing infrastructure using Terraform, and treating observability, structured logging, and monitoring as standard engineering practices. ~ Experience working in regulated environments, where auditability, data controls, security, and compliance are core engineering requirements. ~ Good level of English (required), other languages (e.G. Spanish or additional European languages) are nice to have.

We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).

This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Allianz Services is where that legacy meets the future. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works., Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.Allianz Group is one of the most trusted insurance and asset management companies in the world. 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 ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.