Principal AI Platform Leader

Moody; New York (NY); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Parental leave

Paid time off

401(k) plan

Life insurance

Disability insurance

Stock purchase plan

Tuition reimbursement

Job summary

Moody's is seeking a Principal Software Engineer to lead AI platforms and intelligent applications within the Digital Content and Innovation organization. You will drive strategy, architecture, and delivery across multi-team efforts, combining technical depth with business impact.

The role emphasizes production AI systems, governance, and mentorship of engineers, with a focus on scalable, cloud-native solutions and responsible AI practices.

Qualifications

• 12+ years of software engineering experience.
• 5+ years leading engineering teams with measurable impact.
• Experience guiding multi-team delivery and architecture.
• Expertise with AI applications built on large language models.

Responsibilities

• Lead strategy, delivery, and evolution of AI platforms.
• Define long-term technical strategies and roadmaps.
• Grow and organize multiple engineering teams and managers.
• Drive architectural decisions for AI-powered solutions.
• Ensure engineering excellence through reviews and testing.
• Own budget, cloud infra, and supplier relationships.
• Partner with stakeholders to maximize customer value.

Skills

Software leadership

Engineering management

Team leadership

TypeScript, Python, C#

AI with LLMs

Production AI systems

Cloud-native architectures

Tech strategy & governance

Education

Bachelor's or master's in CS/Engineering/AI

Job description

Moody's is seeking a Principal Software Engineer to lead AI platforms and intelligent applications within the Digital Content and Innovation organization. You will drive strategy, architecture, and delivery across multi-team efforts, combining technical depth with business impact.

The role emphasizes production AI systems, governance, and mentorship of engineers, with a focus on scalable, cloud-native solutions and responsible AI practices.