Lead AI Engineer

Job Description

Job Description What is the opportunity? Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire a talented Data & AI Engineer to build cutting edge AI and data solutions. The role will be responsible for building and managing AI platforms and data pipelines for global operations. What will you do? You will be responsible for working closely with AI data scientists to support data ingestion and feature engineering, establishing industry best practices, maintaining and managing technical documentations. Build data products using structured and unstructured data to deliver AI solutions. Ensure data quality, performance, scalability. Build Gen AI system frameworks, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production. Partner with enterprise architect to create data and AI technology architectures. Provide Gen AI subject matter expertise in technical system design, development, and implementation of AI applications. Contribute to production efforts via data pipelines, reusable frameworks, distributed computing, and documentations. What do you need to succeed? Must have: Degree in Computer Science or Software Engineering related technical field 7 years of experience in development, designing and developing robust scalable REST API, microservices, and data pipelines in production Advanced SQL knowledge and data engineering experience working with relational databases High proficiency using Python for data and AI engineering, experience building end to end ML pipelines include data ingestion, data transformation, feature engineering, model inference and deployment in production Expertise in Generative AI and Machine Learning service integrations. Familiar with Gen AI tech stack (LLMs, Agents, MCP Servers) Nice-to-have: Knowledge of data engineering industry best practices: schema management, data quality, data governance, Cloud management, Databases, Data Warehousing, ETL pipelines, and data streaming Experience in building data products for analytics visualizations Experience using AWS Sagemaker, S3, Snowflake, Databrick, Airflow, Hadoop, PySpark Familiar with Dev Ops and Microservices tools such as Git, Jenkins, Vault, Node.JS, Flask, Django, Kafka Past experiences with at least one of the Object-Oriented development languages such as: C , C# .NET, or Java Familiar with JIRA, Confluence, Agile/Scrum development methodology Ability to read and write in the French language is a plus What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program i

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