VP- AI Platform and DevOps Engineer
Moody's
New York, NY, US
Onsite
2026-07-03
Announced salary
$170,000 - $220,000
Low
$90K
Median
$115K
High
$148K
Market in New York · BLS OEWS 2025
Estimated net pay
$9,825 - $12,582
/month · 31% withheld
after tax & contributions · Single, no dependents
Job description
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
**Skills and Competencies*** Executive\-level experience leading DevOps, cloud infrastructure, or platform engineering teams in a large enterprise environment
* Deep experience with managed Kubernetes platforms including Azure Kubernetes Service and Amazon Web Services
* Hands\-on experience with Terraform and Infrastructure as Code
* Proficiency designing and governing CI/CD pipelines using enterprise tools such as GitHub Actions
* Strong background supporting artificial intelligence or data\-driven platforms in production environments
* Demonstrated leadership driving complex platform transitions across organizational boundaries
* Proven ability to build scalable, secure, and repeatable DevOps practices
* Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in