AI Solutions Engineer

Full Description

• Expert in large language models, Gen AI application implementation

• Develop and implement artificial intelligence solutions

About Our Client

This is your opportunity to join a trusted global provider of speciality lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders.

The Innovation& Analytics team is a core component of our strategy, with the potential to transform the way in which we do business and enable us to effectively leverage data and technology to our competitive advantage. The central mandate is to horizon-scan, prototype and implement innovative solutions to business problems.

Job Description

• Design and lead end-to-end AI solution architectures, from data ingestion and model development to deployment and integration with front-end applications

• Collaborate closely with data scientists to translate research prototypes and models (especially LLM-based) into scalable, production-ready systems

• Work with application and front-end teams to integrate AI capabilities into user-facing products, ensuring seamless user experiences

• Own the technical roadmap for AI solution delivery, balancing innovation with maintainability, scalability, and performance

• Develop and maintain reusable components, APIs, and services that enable rapid deployment of AI features across products

• Champion best practices in MLOps and software engineering, including CI/CD, testing, observability, and versioning for AI systems

• Mentor and guide junior engineers and cross-functional team members, fostering a culture of technical excellence and collaboration

• Stay current with advancements in AI/ML and LLM technologies and proactively identify opportunities to apply them to business challenges

The Successful Applicant

• Proven experience delivering AI/ML solutions in production, with a strong focus on large language models (LLMs) and generative AI

• Hands-on expertise with Azure Databricks, including data engineering, model development, and orchestration of ML workflows

• Practical experience using LLMs and RAG, including prompt design, vector databases, model deployment, and integration into applications

• Strong Python development skills, with experience building scalable, maintainable AI services and APIs

• Experience integrating AI models into real-world applications, working closely with front-end or product engineering teams

• A passion for driving best practices, including code standards, model lifecycle management, CI/CD, and monitoring in cloud environments

• Familiarity with the Azure ecosystem, such as Azure Machine Learning, Azure DevOps, and related cloud-native tools

• Excellent communication and collaboration skills, with the ability to work effectively across data science, engineering, and business teams

What's on Offer

If you are ready to contribute your expertise as an AI Solutions Engineer, apply now to join a leading organisation in the technology and sector!

Guaranteed bonus

Work from home flexibility