Note: The job is a remote job and is open to candidates in USA. Aegon is hiring a Lead AI Engineer to design, develop, deploy, and support AI solutions that improve products, services, and business processes. The role delivers scalable, secure, and responsible AI applications and platforms, supports enterprise AI services, and leads technical workstreams while mentoring engineers and collaborating across teams.
Responsibilities
- 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
Skills
- 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
- Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration, sponsorship or otherwise serving as an employer of record for immigration employment purposes
- At this time, this role is not eligible for immigration-related employment authorization sponsorship
- 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
Benefits
- The company is committed to supporting employee development.
Company Overview