AI Operations Lead
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 AI Operations (Platform) Lead to evolve the organizations AI platform and operational services, develop and mature AI operations and customer support processes, drive and support AI Platform adoption, and provide AI expertise to accelerate developer onboarding and enablement.
What You Will Do:
- 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 DevOps 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, bring your wealth of experience and knowledge to others.
If you’re passionate about operating AI platforms at scale, enabling developers, and building reliable, responsible AI services, we’d love to hear from you.
What You Will Need:
Qualifications
- 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 of 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, LangChain, A2A, and MCP.
- Appreciation of DevOps 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 of 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 global nature of business.
Compensation:
The Salary for this position generally ranges between $131,200 - $164,000 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, Philadelphia). Relocation assistance will not be provided for this position.