AI Operations Lead

Job Description

Enterprise Technology (formerly Global Technology Services) is a global organization within Transamerica that provides dedicated support to Transamerica and brings Aegon's business units together through the use of technology. We are creating the company’s AI environment, building a flexible ‘cloud experience’ for internal hosting services, designing frameworks for data governance and management, and ensuring the security and stability of the company’s technology.

The Aegon’s Core AI Team is scaling rapidly to meet growing demand for AI‑driven transformation across our global business.

• Own the operational health, monitoring and performance of Aegon’s Enterprise Launchpad AI Platform, AI chatbot and other related services.
• Own and continuously improve the Launchpad Dev Ops CI/CD pipeline and supporting tooling.
• Lead and develop a distributed team of three engineers (across US and EU time zones), providing platform onboarding, training, enablement, and Level 2 support.
• Coordinate delivery across a broader virtual team, including Launchpad developers, cloud, security, AI specialists, and Business Unit engineering teams.
• Act as a hands‑on technical escalation point for complex platform, integration or operational issues.
• Mature and run incident, problem and service management practices, including root cause analysis and continuous improvement.
• Evolve and automate the platform onboarding journey, improving the developer experience through better tooling, documentation and guidance.
• Own and maintain developer standards, self‑service documentation, user guides, developer best practice and intranet content for the Launchpad platform.
• Partner closely with security, risk and architecture teams to ensure safe, compliant and responsible AI operations.
• Track and report on platform adoption, reliability and operational KPIs, using insights to drive improvements and new capabilities.
• Provide mentoring and coaching to members of the Launchpad Team development and support team, bringing your wealth of experience and knowledge to others.

• A bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related discipline.
• Professional certifications in AI and/or cloud technologies (preferred).
• 10+ years’ experience in technology operations, platform delivery, or engineering enablement roles.
• Experience supporting Generative AI or LLM gateway‑based platforms in production.
• Proven experience leading small engineering teams, including people management and cross‑team coordination.
• Strong Python proficiency, with experience delivering production‑ready solutions.
• Solid understanding of the GenAI ecosystem and agentic frameworks and protocols, such as Strands SDK, Lang Chain, A2A, and MCP.
• Appreciation of Dev Ops practices and automated CI/CD pipelines, and common security, scanning and testing tools.
• Deep appreciation for developer experience, including onboarding, enablement and high‑quality documentation.
• Working knowledge of AWS Cloud, AWS AI infrastructure and related services.
• Excellent written and verbal communication skills, with the ability to translate complex technical topics for diverse audiences.
• A pragmatic, service‑oriented mindset, with a strong focus on operational excellence and continuous improvement.
• Demonstrated ability to collaborate with diverse stakeholders to deliver scalable, enterprise AI solutions.
• Preferred but not essential: 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 Agent Core.