Position Description
We are seeking a highly skilled AI Forward Deployment Engineer to accelerate the adoption and impact of AI-driven solutions within CLSA’s London office. This role is embedded with business users, responsible for scoping, validating and delivering AI and machine learning applications that drive measurable business value. The position requires close collaboration with both local stakeholders and the global AI leadership, maintaining a dotted-line reporting relationship to the Chief AI product Manger in Hong Kong. This is an exciting opportunity for an experienced AI engineer to make a tangible impact on business outcomes, working closely with London-based teams and global leadership to deliver innovative, high value AI solutions.
Key Areas of Responsibilities
Business-Embedded AI Delivery: Engage directly with London-based business teams to map workflows, identify high-value AI opportunities, and rapidly prototype solutions using synthetic or real data. Prioritise and whiteboard ideas with stakeholders, focusing on business impact and feasibility
Validation & Quality Assurance: Define and agree on validation criteria with users. Build evaluation frameworks, scale labelling processes, and optimise models based on user feedback and business objectives. Present clear reports on model performance and business outcomes
Deployment & Iterative Improvement: Deliver end-to-end AI solutions, from prototype to production, ensuring seamless integration with existing systems and compliance with CLSA’s standards. Iterate quickly based on user feedback, focusing on delivering “micro-wins” and addressing pain points
Collaboration & Governance: Serve as the primary AI engineering resource for the London office, while participating in global AI roadmap discussions and best practice sharing. Maintain a dotted-line reporting relationship to the Chief AI Product Manager, ensuring alignment with CLSA’s global AI strategy and standards
Training & Support: Support local users in AI adoption, provide training, and act as a point of contact for AI-related queries and troubleshooting. Liaise with the London AI support team and global AI leadership for knowledge transfer and escalation
Requirements
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Bachelor’s degree in engineering, Data Science or related field preferred
Minimum of 3 years of experience in AI/ML engineering, ideally in financial services or a related industry
Proven ability to work in a forward-deployed, business-embedded model: onsite engagement, rapid prototyping, and iterative delivery
Strong understanding of LLM evaluation, prompt engineering, and model optimisation.
Proven ability to work in a forward-deployed, business-embedded model: onsite engagement, rapid prototyping, and iterative delivery
Strong understanding of LLM evaluation, prompt engineering, and model optimisation
Excellent communication and stakeholder management skills, with experience working across global teams
Familiarity with regulatory, compliance, and data governance requirements in financial services
Must be self-motivated with the ability to work independently and as part of a team
Proficiency in SQL and Linux environment operations is essential
Knowledge of Futures trading/settlement systems and exchange connectivity; hands on experience with platforms such as ION, FIS, TT is highly advantageous
Proficiency in scripting languages (e.g. Python, Shell, PowerShell) for automation and reporting is preferred but not mandatory
Strong troubleshooting skills and experience with system monitoring tools
Knowledge of regulatory frameworks (e.g., FCA, EMIR) and their impact on system operations
Excellent command of English – verbal and written
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CLSA London, England Office
12/F Moor House, 120 London Wall, , London, United Kingdom, EC2Y 5ET
