AI Data Engineer

A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents.

With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide

advanced banking technology to other financial institutions.

“Rethink Everything” is our philosophy – it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients.

Lombard Odier Investment Managers (“LOIM”) is the asset management business of the Lombard Odier Group. To further strengthen our AI Team, we are looking for a:

AI Data Engineer

As AI Data Engineer at Lombard Odier Investment Managers, you sit at the critical boundary between our data platform and our AI capability layer. You don't build AI applications: you make data AI-ready. Your work is the foundation that determines whether our AI systems are reliable, accurate and trustworthy in a regulated investment management environment. You work in squads alongside AI Engineers and AI Transformation Managers to deliver AI use cases across Investment, Business Development and Operations. While the AI Engineer builds the solution, you ensure the data it consumes is properly structured, fresh, and AI-consumable.

A rare opportunity to build AI data infrastructure from the ground up in a leading asset manager, with direct impact on investment decisions.

YOUR ROLE

Data pipeline engineering for AI

• Build and maintain pipelines that transform raw financial data into AI-consumable formats (such as MCP) from our data platform and internal systems into Azure AI Foundry
• Contribute to the ingestion, chunking, embedding and indexing of unstructured data such as fund documents, client communications, market research, regulatory filings
• Build and maintain vector stores and semantic search infrastructure that power RAG and Agentic applications
• Ensure data freshness, consistency and reliability across all AI data pipelines

AI-ready data foundations

• Implement AI data standards: chunking strategies, embedding models selection, metadata schemas, data lineage for AI consumption
• Build feature pipelines for structured data use cases
• Implement monitoring and evaluation of data quality specifically for AI: detect data drift, embedding degradation, pipeline failures before they impact AI outputs
• Maintain clear documentation of data flows from source to AI consumption

Collaboration and standards

• Work closely with AI Engineers to understand what data their applications need and ensure it is available in the right format at the right time
• Interface with IT and the data platform team to access raw data and define requirements for new data sources
• Partner with business data owners and domain stewards to ensure business-led data semantics are correctly captured in AI-ready formats
• Contribute to data governance standards specific to AI: traceability, auditability, and compliance by design in a regulated environment

YOUR PROFILE

• Master’s degree in Computer Science or a related field.
• 3-5 years of experience in data engineering with demonstrable exposure to AI or ML data infrastructure
• Strong Python skills
• Hands-on experience with modern data platforms: Snowflake, Microsoft Fabric or equivalent
• Experience building and maintaining data pipelines at production scale
• Understanding of unstructured data processing: document parsing, chunking strategies, text preprocessing
• Familiarity with vector databases and Azure AI Foundry
• Experience with embedding pipelines and semantic search infrastructure
• Strong understanding of data quality principles and monitoring in production environments
• Exposure to financial services is a plus
• Team player with strong communication skills
• Autonomous, pragmatic, and delivery-oriented mindset.

Our Maison’s DNA is defined by five core values. Excellence drives us to be the best at what we do, while Innovation fuels our progress. Respect underpins every interaction, and Integrity shapes our actions. Together, we are One Team, united in serving our clients with unwavering dedication.

As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. Diversity, Equity and Inclusion are woven into the fabric of our Maison’s DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy.