Reporting to the Director of Architecture within the Risk Intelligence team. Risk Intelligence is responsible for developing critical services that support anti-money laundering efforts in the financial markets.
We're seeking a forward-looking Principal AI Architect to lead and oversee the design, development, and governance of our AI and ML platform. This is a hands-on, strategic role where you'll help to shape the future of our AI capabilities, coach engineers, and ensure our tooling and frameworks are cutting-edge. You'll be instrumental in driving innovation across both machine learning and emerging generative AI technologies.
Architecture Leadership: Define and evolve the architecture for AI/ML systems, ensuring scalability, governance, data structures and paradigms (Lakehouse, warehouse, etc), data lineage, shared runtime, common AI workspaces and performance.
Conduct technical reviews of both code and AI/ML models, ensuring quality, reproducibility and adherence to groups and industry best practices.
Tooling & Developer Experience: Own and enhance the AI/ML tooling ecosystem including experiment tracking, data pipelines, data access, model deployment pipelines, CI/CD for ML, and observability.
Contribute to shared libraries and frameworks that support model training, evaluation, and deployment.
LLMs, multimodal models), ML frameworks (e.g. LangChain, LangFuse) and stay connected with AI community e.g. Apply SOLID principles, design patterns, and dependency injection to AI systems, ensuring maintainability and robustness.
Data & Model Governance: Ensure responsible AI practices, including model explainability, fairness, and compliance with data governance standards.
Guide AI engineers and data scientists, fostering a culture of technical excellence, experimentation, and continuous learning
Proven hands-on experience with key AI technologies and concepts such as LLMs, Scikit, prompt engineering, LangChain, vector databases, graph databases, Lucence, Lakehouse and retrieval-augmented generation (RAG).
Strong grasp of software engineering principles (SOLID, design patterns), dependency injection, and scalable system design.
Hands on experience with ML tooling such as MLflow, Snowflake, Databricks, SageMaker or Azure Machine Learning.
Hands on production experience deploying and monitoring AI/ML systems on cloud platforms such as AWS, GCP or Azure
BONUS SKILLS/EXPERIENCE:
Contributions to open-source projects or technical blogs.
Experience with setting up and running MCP servers
Join us and be part of a team that values innovation, quality, and continuous improvement. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
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