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For Companies At a Glance
- Tasks: Lead the design and development of cutting-edge AI and ML platforms.
- Company: Join LSEG, a global leader in financial markets infrastructure.
- Benefits: Competitive salary, diverse workplace, and commitment to sustainability.
- Why this job: Shape the future of AI while driving innovation in financial markets.
- Qualifications: Strong experience with AI technologies and software engineering principles.
- Other info: Mentorship opportunities and a culture of continuous learning.
The predicted salary is between 72000 - 108000 £ per year.
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 are 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 will help to shape the future of our AI capabilities, coach engineers, and ensure our tooling and frameworks are cutting-edge. You will be instrumental in driving innovation across both machine learning and emerging generative AI technologies.
Responsibilities
- 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.
- Code & Model Reviews: 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.
- Framework Contribution: Contribute to shared libraries and frameworks that support model training, evaluation, and deployment.
- Innovation & Research: Stay ahead of developments in GenAI (e.g. LLMs, multimodal models), ML frameworks (e.g. PyTorch, TensorFlow, Scikit-learn), orchestration tools (e.g. LangChain, LangFuse) and stay connected with AI community e.g. Hugging Face.
- Engineering Excellence: 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.
- Cross-Functional Collaboration: Partner with product and platform teams to deliver intelligent, scalable solutions that solve real-world problems.
- Mentorship & Coaching: Guide AI engineers and data scientists, fostering a culture of technical excellence, experimentation, and continuous learning.
Strong experience with supervised, unsupervised, and generative models.
Qualifications
- Excellent understanding of model lifecycle, from experimentation to production.
- Proven hands-on experience with key AI technologies and concepts such as LLMs, Scikit, prompt engineering, LangChain, vector databases, graph databases, Lucene, 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 in developing "deep" services using Agentic frameworks.
- Experience with setting up and running MCP servers.
About LSEG
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 values of Integrity, Partnership, Excellence and Change guide our decisions and actions. We are an equal opportunities employer and do not discriminate based on race, religion, color, 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. We may accommodate applicants’ religious practices and beliefs and health needs as required by law. We are committed to sustainability and to helping our customers meet their objectives. Our charity, the LSEG Foundation, provides charitable grants to community groups that help people access economic opportunities.
Please note: this description reflects the role and responsibilities as of now and may be subject to change.
Principal AI Architect in City of London employer: London Stock Exchange Group
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, contributions to open-source, or any relevant blogs. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and case studies related to AI architecture. Practice explaining your thought process clearly, as communication is key in these roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Principal AI Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal AI Architect role. Highlight your experience with AI/ML technologies and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our Risk Intelligence team. Be sure to mention any innovative projects or ideas you have in mind.
Showcase Your Technical Skills: In your application, don’t forget to showcase your technical skills and hands-on experience with tools like MLflow, TensorFlow, or Azure Machine Learning. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your AI Stuff
Make sure you brush up on the latest in AI and ML technologies, especially those mentioned in the job description like LLMs, PyTorch, and LangChain. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Architecture Skills
Prepare to talk about your approach to defining and evolving AI/ML architectures. Think of specific examples where you've ensured scalability and governance in your previous projects. This will demonstrate your strategic thinking and technical expertise.
✨Be Ready for Code Reviews
Expect to dive into technical discussions about code and model reviews. Brush up on best practices for quality and reproducibility in AI/ML models. You might even want to bring a portfolio of your past work to showcase your review process and outcomes.
✨Highlight Your Mentorship Experience
Since this role involves coaching engineers, be prepared to share your experiences in mentoring and fostering a culture of technical excellence. Discuss how you've guided teams in the past and the impact it had on their development and project success.
