AI Software Engineering Manager — Hands-On Lead

PassFort

Greater London

On-site

GBP 120,000 - 190,000

Full time

11 days ago
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Job summary

Moody’s is transforming how the world sees risk and advancing AI to move from insight to action. Our AI Strategy and Innovation team embeds AI across product strategy using large language models, agentic platforms, and advanced analytics to enhance decision-making and client outcomes.

We are seeking a senior technical leader who can embed in high-priority AI projects, coach engineers, stay hands-on, and drive reliability while expanding responsible AI governance across the organization.

Qualifications

  • 3+ years leading or managing software engineers, coaching and career development.
  • Bachelor's or Master's degree in Computer Science or related field; advanced degree preferred.
  • Hands-on experience building AI/ML applications and operating production systems on cloud platforms.

Responsibilities

  • Embed in high-priority AI projects for 4–6 months, guiding architectural decisions.
  • Coach and manage engineers across squads, partnering with PMs and tech leads.
  • Stay hands-on, ship production-grade changes, review code, and run incidents.
  • Challenge technical decisions and help engineers manage complexity.
  • Invest in engineers' growth through mentoring and career development.
  • Drive cross-team alignment and adoption of engineering best practices.

Skills

Leadership
Backend engineering
AI/ML apps
AWS/Azure
Communication
Ownership
AI governance

Education

Bachelor's or Master's in CS/SE

Tools

AWS
Azure

Job description

Moody’s is transforming how the world sees risk and advancing AI to move from insight to action. Our AI Strategy and Innovation team embeds AI across product strategy using large language models, agentic platforms, and advanced analytics to enhance decision-making and client outcomes.

We are seeking a senior technical leader who can embed in high-priority AI projects, coach engineers, stay hands-on, and drive reliability while expanding responsible AI governance across the organization.

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