Lead AI Engineer
About the role
- Design, develop, deploy, and support AI applications, automation solutions, and digital agents.
- Deliver generative AI (Gen AI) and agentic solutions using established frameworks and cloud technologies.
- Apply software engineering with best practices to deliver scalable, secure, and reliable AI solutions.
- Support the full AI solution lifecycle from design through production support.
- Contribute to the enhancement, operation, and continuous improvement of enterprise AI platforms and services.
- Improve AI products, engineering processes, and technical standards through the application of best practices.
- Support platform reliability, monitoring, and continuous improvement initiatives.
- Lead small projects or technical workstreams and help ensure successful delivery.
- Mentor and support less experienced engineers through coaching and knowledge sharing.
- Collaborate with business, architecture, security, and platform teams to deliver AI solutions and communicate technical concepts to technical and non-technical audiences.
- Bachelor's degree in computer science, artificial intelligence, data science, or related field
- Eight years of experience in software engineering, AI engineering, or related disciplines
- Two years of experience in end-to-end AI solution design, development, testing, monitoring, and maintenance
- Experience designing and developing agentic workflows
- Experience delivering AI solutions in cloud environments
- Experience with Amazon Web Services (AWS) Bedrock and AWS SageMaker
- Experience with OpenAI technologies, AWS Bedrock Agents, and LangChain
- Proficient in Kubernetes and Docker containerization technologies
- Master's degree in artificial intelligence, data science, or related field
- Experience working in the insurance industry or other regulated industries
- Experience supporting enterprise AI platforms and cloud-native solutions
- Experience applying responsible AI, security, privacy, and governance practices
- Professional certifications in artificial intelligence technologies
- Professional certifications in cloud-native technologies
- Developer-level certifications in relevant technologies
- Office environment
- Work outside normal business hours may be required to support global business operations
- Occasional travel (
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
