AI Engineer

The AI Engineer turns Source’s specialist research, proprietary market data and industry expertise into reliable, useful AI-powered products and workflows. Source provides market data and insight to the consulting industry, from research reports and survey data to growth figures, forecasts, client perceptions and market modelling. This role will help users query that data, extract insights and draw conclusions with confidence, taking what Source already does well to the next level.

Supported by the Director of Technology and working closely with the Product Owner, software engineers, data analysts, and research teams, you design, build, and operate applications that help colleagues and clients find evidence, analyse data, and generate insights more effectively.

The role is hands-on and focused on delivering business value. It spans document retrieval, structured data, conversational interfaces and workflow automation, and requires choosing the right approach for each problem.

• Design, build and deliver AI-powered applications and workflows that solve real business problems, choosing suitable models and technologies.
• Integrate AI capabilities into Source’s products and internal processes.
• Choose the right approach for each use case and prototype ideas to validate them before production.

• Build and improve search and retrieval over Source’s research content, so users get relevant, traceable answers.
• Ensure users can only access the content they are permitted to see.

• Build reliable integrations between AI applications and Source’s structured data, such as growths, forecasts, client perceptions and market models.
• Develop tools that help users query data, extract insights and draw conclusions with confidence.
• Make answers transparent and trustworthy, showing users where figures and conclusions come from so they can rely on them.

• Evaluate and test AI solutions to ensure quality, accuracy and reliability, using human review where appropriate.
• Monitor application behaviour, usage and cost.
• Work with the Platform team, who own cloud infrastructure and CI/CD, to release and run AI solutions.
• Build appropriate safeguards to keep AI solutions secure and protect data, following Source’s security, privacy and AI approval processes.
• Apply responsible-AI practices, including human oversight, user feedback and transparency about limitations.

• Work with Product, Engineering, Data and Research colleagues to identify use cases, shape requirements and prioritise work by business value and feasibility.
• Work with the software engineering team, who build the user-facing front end, to bring AI capabilities to users.
• Communicate system capabilities and limitations clearly to non-technical stakeholders and support user adoption and training.
• Share learning, contribute to code reviews and help build the team’s AI engineering knowledge.

In the first six months, you will work with the team to agree a realistic delivery plan and make measurable progress against outcomes such as:

• Delivering production-ready AI capabilities over an agreed subset of Source’s research reports and structured data (such as growths, forecasts, client perceptions and market models), with citations, accurate and traceable answers and permission-controlled access.
• Beginning to establish reusable practices for evaluation, monitoring and security, and identifying further opportunities with Product, Engineering, Data and Research.
• Demonstrating evidence of improved research efficiency, client self-service, user confidence or product capability,…