Associate Principal, AI Engineer
About the role
Aegon’s Core AI Team is scaling rapidly to meet growing demand for AI-driven transformation across our global business. Building on recent successes – including the launch of a vendor-agnostic enterprise LLM gateway (AWS Launchpad), we are now investing in next-generation Gen AI and Agentic AI capabilities. We are seeking an experienced Associate Principal AI Engineer to join Aegon’s Core AI team, evolve the organization’s AI platform capabilities, develop and mature AI services, drive and support AI adoption, and provide AI expertise in support of AI-fueled digital transformation.
Responsibilities
- Contribute enhancements to Aegon’s AWS Launchpad platform and related operational services.
- Provide support to Launchpad Platform onboarding of internal development teams.
- Apply strong Python skills to build production-ready Gen AI and Agentic AI solutions (AWS AgentCore).
- Translate complex problems into well-defined project requirements.
- Under supervision, lead AI development teams in the delivery of business transformation initiatives using software engineering best practices, and adhere to Aegon’s Software Delivery Lifecycle.
- Apply strong AWS AI knowledge to select the right components and AI services to solve business problems.
- Contribute to the evolution of our AI governance and operational processes.
- Proactively share compelling ideas and work with the rest of the team and organization to lead/push the adoption of AI throughout Aegon.
- Champion a culture of innovation, continuous learning, and operational excellence.
- Work closely with broader software engineering teams and stakeholders (internal and external) to innovate, design, and deliver highly effective solutions.
Qualifications
- Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
- 10+ years related experience with at least 3 years of demonstrable experience in end-to-end AI solution design.
- Professional certifications in AI and/or cloud technologies.
- Strong proficiency in Python for production-ready delivery.
- Deep understanding of the Gen AI landscape and agentic frameworks (inc. Strands SDK, LangChain, A2A, and MCP).
- Experience working in the full model lifecycle – planning, training, deploying, and maintaining AI systems.
- Good knowledge of AWS AI Infrastructure and AI services.
- Proficiency in containerization and orchestration tools such as Kubernetes and Docker.
- Experience in working with a diverse set of stakeholders to deliver AI solutions.
Preferred Qualifications
- Experience working in the insurance industry or other regulated sectors.
- Master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
- Experience of building AI solutions using AWS AgentCore.
Pay
The Salary for this position generally ranges between $207,200 - $259,000 annually.
Schedule
This is a hybrid position requiring three days in office per week in one of our hub locations (Cedar Rapids, Denver or Philadelphia).