Python AI Engineer

Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform.

Intermediate‑level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting‑edge mandatory platform for secure and scalable deployment of AI agents, Big Data, Databricks and AI technologies.

Responsibilities

• Design, develop, and maintain scalable, enterprise‑grade AI agents, supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices, PySpark, Kafka and Databricks ecosystem.
• Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture.
• Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for ad...