AI Operations Engineer
Aegon's Core AI Team is driving AI-driven transformation across their global business, focusing on next-generation Gen AI and Agentic AI capabilities. The AI Operations Engineer will evolve the organization's AI platform and operational services, develop AI operations and customer support processes, and provide expertise to accelerate developer onboarding and enablement.
Responsibilities
- Assist in monitoring and maintaining AI platform services and applications
- Support troubleshooting efforts for basic platform, service, or integration issues under guidance from more experienced team members
- Help maintain and update documentation, user guides, onboarding materials, and internal knowledge content
- Contribute to testing, debugging, validation, and basic operational support for AI platform features and updates
- Assist with CI/CD pipeline tasks, deployment support activities, and automation efforts as assigned
- Collaborate with team members to support platform onboarding and developer enablement activities
- Learn and apply AI engineering, cloud, support, and DevOps best practices in day-to-day work
- Track basic operational issues and help document resolutions and support procedures
- Provide responsive support for routine developer questions and escalate complex issues appropriately
- Participate in team learning, knowledge sharing, and continuous improvement efforts
Skills
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline; equivalent internship or academic project experience may also be considered
- Minimal to 2 years of relevant experience, including internships, co-ops, research, or academic projects
- Basic knowledge of Python or another modern programming language
- Foundational understanding of cloud concepts, preferably AWS
- Exposure to AI/ML or Generative AI concepts through coursework, personal projects, research, or internships
- Basic understanding of software development lifecycle concepts, version control, and testing practices
- Strong analytical thinking, curiosity, and eagerness to learn new technologies and tools
- Good written and verbal communication skills and ability to work effectively in a team environment
- Internship or academic experience with AI, machine learning, software engineering, or platform support
- Exposure to Git, APIs, microservices, or automation tools
- Interest in cloud engineering, AI platforms, or developer enablement
Benefits
- Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion
- Hybrid position requiring three days in office per week in Denver, CO
- Moderate travel (10-25%)
- Travel for internal meetings as needed
Company Overview