Associate AI Product Developer

About the role

LSEG is seeking an Associate AI Product Developer to join a team focused on designing and delivering AI-powered products, workflows, and experiences in complex, data-rich environments. This role offers a hands-on opportunity for an early-career AI-native professional passionate about turning emerging AI capabilities into practical, user-focused solutions.

Responsibilities

• Design, build, and improve AI-powered products, workflows, prototypes, and automation solutions.
• Translate business and user needs into requirements, workflow builds, user stories, and acceptance criteria.
• Configure, test, and refine AI behaviors in partnership with product and engineering teams.
• Evaluate AI outputs for quality, reliability, consistency, usefulness, and potential failure modes.
• Identify edge cases, user experience gaps, trust concerns, and opportunities for improvement.
• Use testing results, user feedback, and performance insights to continuously improve AI capabilities after launch.
• Support demonstrations and presentations of new AI solutions and product capabilities.
• Partner with governance and risk teams to ensure compliance, quality, and regulatory requirements.
• Stay current on emerging AI tools, model capabilities, product patterns, and AI-native software development practices.
• Share insights and standard processes across the broader team.

Qualifications & Experience

• 1–3 years of experience in AI product development, applied AI, data products, product analytics, UX, or a related product or technical role.
• Hands-on experience building or supporting AI-powered products, workflows, prototypes, automation tools, or AI platforms.
• Ability to translate complex problems into clear requirements, workflows, user stories, and testable outcomes.
• Understanding of AI system behavior, including output variability, hallucinations, latency, quality trade-offs, and user trust considerations.
• Strong analytical and problem-solving skills, including AI output evaluation and edge-case identification.
• Knowledge of user behavior and UX principles, with the ability to apply them to AI product design and evaluation.
• Able to collaborate effectively with both technical and non-technical partners.
• Strong communication skills to explain AI capabilities, product decisions, and trade-offs clearly.
• Exposure to product analytics, APIs, automation tools, or low-code/no-code platforms is a plus.
• Bachelor's degree or equivalent practical experience.