Associate Principal, AI Engineer
Aegon · United States
- Hybrid
- Full-time
- $207,000 / year
- United States
Job highlights
- Advance Aegon's AI platform and services.
- Develop production-ready Gen AI and Agentic AI solutions.
- Utilize Python and AWS AI services extensively.
- Lead AI teams in digital transformation initiatives.
- Drive AI adoption and innovation across Aegon.
About the role
About Enterprise Technology at Aegon/Transamerica
Enterprise Technology (formerly Global Technology Services) is a global organization within Transamerica, providing dedicated support and unifying Aegon's business units through technology. We form the essential infrastructure that enables everything to work, focusing on creating the company’s AI environment, building flexible cloud experiences for internal hosting, designing data governance frameworks, and ensuring technology security and stability. Our goal is to empower business units to operate more efficiently and deliver exceptional client service, whether clients are interested in insurance products, annuities, or financial services, ensuring their information is secure.
Our global teams are composed of over 1,000 diverse professionals from a dozen nationalities, located in the UK, US, Netherlands, Hungary, Spain, and Hong Kong. We have experts in application development, information security, infrastructure services, data & analytics, risk & controls, procurement, program management, and architecture. We foster a wide variety of career paths and emphasize employee development, including opportunities through our Talent Marketplace for colleagues to gain new experiences. Curiosity is our most valued quality; we seek individuals who are naturally inquisitive, problem-solvers, and confident in challenging existing processes to drive improvement and adapt to rapidly changing technology.
Job Description Summary
Aegon’s Core AI Team is rapidly expanding to meet the increasing demand for AI-driven transformation across our global business. Building on recent achievements, such as the launch of a vendor-agnostic enterprise LLM gateway (AWS Launchpad), we are now investing in next-generation Generative AI and Agentic AI capabilities. We are looking for an experienced Associate Principal AI Engineer to join our Core AI team. In this role, you will evolve our AI platform capabilities, develop and mature AI services, drive AI adoption, and provide essential AI expertise to support AI-fueled digital transformation.
Responsibilities
- Contribute enhancements to Aegon’s AWS Launchpad platform and related operational services.
- Provide support for the Launchpad Platform onboarding of internal development teams.
- Apply strong Python skills to build production-ready Generative AI and Agentic AI solutions (AWS AgentCore).
- Translate complex problems into well-defined project requirements.
- Under supervision, lead AI development teams in delivering business transformation initiatives using software engineering best practices and adhering 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 insights with the rest of the team and the organization, helping to lead and drive AI adoption throughout Aegon.
- Champion a culture of innovation, continuous learning, and operational excellence.
- Collaborate 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 of 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 Generative AI landscape and agentic frameworks (including Strands SDK, LangChain, A2A, and MCP).
- Experience working across 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 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 building AI solutions using AWS AgentCore.
Working Conditions
- Moderate travel to other offices.
- Some work outside of normal business hours may be required due to the global nature of the business.
- Hybrid or remote office environment.
Compensation
The Salary for this position generally ranges between $207,200 - $259,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.
Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
This is a hybrid position requiring three days in office per week in one of our hub locations (Cedar Rapids, Denver or Philadelphia). Relocation assistance will not be provided for this position.
This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.
Key skills/competency
- Associate Principal AI Engineer
- Python
- Generative AI
- Agentic AI
- AWS
- Cloud Technologies
- Kubernetes
- Docker
- AI Solution Design
- Software Engineering
Skills & topics
- AI Engineer
- Associate Principal
- Python
- Generative AI
- Agentic AI
- AWS
- Cloud Computing
- AI Solutions
- Software Engineering
- Machine Learning
- Data Science
- Kubernetes
- Docker
- Full Stack Development
- Tech Lead
- Senior Engineer
- Engineering Manager
How to get hired
- Tailor your resume: Highlight your 10+ years of experience, specifically detailing your 3+ years in end-to-end AI solution design, Python proficiency, and AWS AI knowledge.
- Showcase relevant certifications: Emphasize any professional certifications in AI or cloud technologies that align with the job requirements.
- Demonstrate Gen AI expertise: Clearly articulate your understanding of Generative AI and agentic frameworks like LangChain within your application and during interviews.
- Prepare for technical questions: Be ready to discuss your experience with the full AI model lifecycle, containerization (Kubernetes, Docker), and AWS AI infrastructure.
- Research Aegon's culture: Understand their focus on curiosity, innovation, and problem-solving to align your responses with their values.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus for an Associate Principal AI Engineer at Aegon?
- The primary focus for an Associate Principal AI Engineer at Aegon is to evolve the organization's AI platform capabilities, develop and mature AI services, drive AI adoption, and provide AI expertise to support AI-fueled digital transformation. This includes working with Generative AI and Agentic AI, and enhancing the AWS Launchpad platform.
- What are the key technical skills required for this AI Engineer role at Aegon?
- Key technical skills include strong Python proficiency for production-ready solutions, deep understanding of Generative AI and agentic frameworks (like LangChain), experience with the full AI model lifecycle, strong AWS AI knowledge, and proficiency in containerization tools like Kubernetes and Docker.
- What is Aegon's stance on remote work for the Associate Principal AI Engineer position?
- This is a hybrid position, requiring three days in the office per week in one of the designated hub locations (Cedar Rapids, Denver, or Philadelphia). While not fully remote, it offers a hybrid environment.
- Does Aegon sponsor employment visas for the Associate Principal AI Engineer role?
- No, Aegon is unable to sponsor or take over sponsorship of an employment visa at this time. Applicants must be authorized to work for any employer in the U.S.
- What is the typical salary range for an Associate Principal AI Engineer at Aegon?
- The salary for this position generally ranges between $207,200 - $259,000 annually. Actual starting pay depends on qualifications, experience, location, and other factors.
- What is the importance of 'curiosity' for this role at Aegon?
- Curiosity is highlighted as the most important quality for individuals joining Aegon. It drives problem-solving, applying existing knowledge to new situations, and naturally leads to improvement opportunities and innovation, which are crucial in a rapidly changing technology landscape.
- What kind of AI projects can I expect to work on as an Associate Principal AI Engineer at Aegon?
- You can expect to work on enhancing Aegon's AWS Launchpad platform, developing production-ready Generative AI and Agentic AI solutions (including using AWS AgentCore), and contributing to AI governance and operational processes. The role is focused on AI-fueled digital transformation.
- What level of experience is required for the Associate Principal AI Engineer position?
- The role requires 10+ years of related experience, with a minimum of 3 years demonstrating end-to-end AI solution design. A Bachelor's degree in a related field is also required, with a Master's degree being a preferred qualification.