Principal Software Engineer - AI
About the role
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 14+ years of experience in system architecture and technical leadership, with proven success designing and scaling enterprise-grade AI, distributed, and cloud-native platforms Deep expertise in Python, LangChain, LangGraph, FastAPI, asynchronous programming, and production deployment of LLM-powered applications Strong knowledge of multi-agent architectures, workflow orchestration, microservices, event-driven systems, and high-performance API design Experience building AI-driven decisioning systems, context-engineering frameworks, prompt optimization pipelines, and model observability solutions Proficiency in designing secure, multi-tenant architectures, state management solutions, and scalable data platforms using PostgreSQL and related technologies Demonstrated proficiency in artificial intelligence concepts, with hands-on experience implementing AI-powered solutions while promoting responsible, secure, and ethical AI adoption Education Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent professional experience
Responsibilities Architect and implement scalable multi-agent AI platforms supporting intelligent lending and financial workflow automation Design and optimize LLM-powered orchestration, context-engineering, prompt-management, and decisioning frameworks Develop secure, high-performance backend services and multi-tenant platforms using modern cloud-native technologies Lead distributed systems design, workflow automation, event-driven architectures, and AI infrastructure strategy Establish observability, performance optimization, governance, and operational best practices for AI systems Mentor engineering teams and drive enterprise-wide architectural standards, innovation, and long-term AI strategy
About
the Team The AI Architecture team develops next-generation intelligent lending solutions by combining advanced AI orchestration, distributed systems engineering, and real-time workflow automation. Working closely with engineering, product, and data teams, the group defines the strategic direction for AI innovation and financial technology modernization across Moody’s Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the
requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
About Cape Analytics
Cape Property Intelligence is a Moody's product offering that provides AI-powered, geospatial property intelligence for buildings across the United States, Canada, and Australia.
Cape enables residential and commercial property stakeholders, including insurance carriers and financial institutions, to instantly access valuable and predictive property insights and risk scores. Cape Property Intelligence provides the accuracy and detail that typically requires an on-site property inspection, but with unparalleled immediacy and coverage.
Other roles at Cape Analytics
Job details
Funding
Total raised
$75M
Last stage
Series C
Investors
Founders
Suat Gedikli
Co-Founder & CTO
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
