Artificial Intelligence Engineer
Posted 14 Oct 2026
Advertised as “Artificial Intelligence Engineer – Artificial Inteligence Solutions & Automation”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
No salary listed for this role.
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's or higher
About WTW
Willis Towers Watson (WTW) is a leading global advisory, broking and solutions company that helps clients around the world turn risk into a path for growth. WTW serves clients across more than 140 countries and markets, delivering solutions across risk, capital, talent and benefits.
Job Summary
The Senior Artificial Intelligence Engineer will be responsible for helping identify, develop, implement and scale Artificial Intelligence solutions across the CIMS (Captive and Insurance Management Solutions ) organisation. The role will work closely with business stakeholders to understand existing processes and Artificial Intelligence use cases, assess appropriate technology approaches, and turn promising solutions into practical, production-ready capabilities.
The role is hands-on and requires a combination of Artificial Intelligence engineering, solution thinking and business problem-solving. The successful candidate will help move Artificial Intelligence initiatives beyond experimentation by improving operational efficiency, scaling successful use cases and delivering measurable business value.
What You’ll Be Responsible For
- Understand business processes, pain points and existing Artificial Intelligence use cases, and identify opportunities where Artificial Intelligence can create measurable value.
- Assess existing Artificial Intelligence solutions and pilots and recommend practical approaches to improve, integrate and scale them.
- Design, develop and implement Artificial Intelligence -enabled solutions using appropriate pro-code, low-code and enterprise-approved technologies.
- Build and integrate solutions using capabilities such as Generative Artificial Intelligence, LLMs (Large Language Models), RAG, Artificial Intelligence agents, automation, APIs(Application Programming Interface) and enterprise platforms.
- Translate business requirements into practical technical solutions while balancing usability, scalability, security, data privacy and responsible Artificial Intelligence considerations.
- Work with Technology, business SMEs (Subject Matter Experts) Artificial Intelligence governance and other stakeholders to take solutions from assessment and prototyping through implementation and adoption.
- Create reusable solution patterns and approaches that can be applied across CIMS (Captive and Insurance Management Solutions) processes and global operations.
- Measure the impact of Artificial Intelligence solutions through metrics such as efficiency, turnaround time, quality, adoption and capacity released.
- Stay current with emerging Artificial Intelligence capabilities and recommend relevant technologies where they can address business needs effectively.
Qualifications