About the Job

Are you excited about transforming cutting-edge AI into real, business-critical solutions that operate safely at global scale?

Join us as an AI Solutions Engineer and play a pivotal role in bringing advanced AI capabilities into production across one of the world's largest and most regulated financial-services organizations.In this role, you won't just build AI systems-you'll shape how they work in the real world: robust, compliant, secure, observable, and ready for enterprise-wide adoption. You'll be the technical lead partnering directly with Operating Entities (OEs), translating innovative models into practical, high-impact automation and intelligent solutions that deliver measurable value.

By combining hands-on engineering with a strong sense of responsibility, you'll ensure that every AI deployment is not only innovative, but safe, trusted, and operationally excellent. If you thrive at the intersection of deep technical work, real-world impact, and responsible AI, this is the opportunity to make your mark.

What you do

• Design, engineer, and deploy (Agentic) 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 (e.g., guardrails, data controls, 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 role out of central platform solutions to OEs (i.e. the central Agentic platform).
• Build business-specific use cases on top of existing central platforms.

What you bring

• 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.

What we offer

• We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
• 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.