The MAAP (My Advanced Analytics Platform) team enables AI development across the bank through reusable AI capabilities, infrastructure, and agentic AI solutions.
As an AI Platform Engineer, you will turn AI best practices into reusable platform services, SDKs, templates, developer journeys, architectural blueprints, and governance patterns. You will help ensure AI solutions are scalable, secure, compliant, and easy to adopt.
Key Responsibilities
- Define and maintain AI architecture standards and reference architectures.
- Translate emerging AI patterns into enterprise-ready standards and reusable capabilities.
- Build shared AI services covering security, access management, observability, and scalability.
- Develop SDKs, templates, accelerators, and reference implementations for ML, GenAI, AI agents, and AI systems.
- Improve the AI developer experience and drive adoption across domains.
- Design cloud-native solutions, CI/CD pipelines, and platform automation.
- Integrate AI services, AKS, and supporting platforms.
- Collaborate with architecture, security, risk, data governance, and regulatory teams.
Technology
Azure, Azure DevOps, Python, AKS/Kubernetes, Helm, Docker, Databricks/Unity Catalog, MLflow, Arize Phoenix, Grafana, Prometheus, Azure Monitor, Nexus, and Twistlock.
Required Skills & Experience
- Strong Python software engineering skills, including design patterns, packaging, and coding best practices.
- Strong Azure knowledge, including networking and IAM / Entra ID.
- Experience with DevOps, CI/CD, automated testing, and deployment strategies.
- Knowledge of Kubernetes reliability engineering, observability, scalability, and availability.
- Experience with ML lifecycle, MLOps, LLMOps, Generative AI, AI Agents, and RAG.
- Understanding of AI evaluation, monitoring, security, governance, and architecture.
- Strong systems-thinking, communication, collaboration, and developer experience mindset.
The preferred start date is as soon as possible, subject to successful DISA/PES + Bank screening and completion of the onboarding process. Please note that the start date is indicative and cannot be guaranteed, as it depends on the duration and outcome of these processes.
