Principle Applied AI Engineer

PENNYMAC Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of home ownership through the complete mortgage journey.

Job Overview As the Principal Applied AI Engineer, you will be the lead architect of the "cognitive" layer of the AI platform. While the Backend Principal builds the deterministic infrastructure, you will engineer the probabilistic systems that power our "Unified Context Library" and "Agentic Orchestration" layer. You will design the autonomous workflows that turn a Product Manager's idea into a technical specification, and a User Story into deployable code.

This role sits at the intersection of elite software engineering and applied artificial intelligence. You will not be training foundational models from scratch; rather, you will be mastering the art of Applied AI: orchestration, retrieval-augmented generation (RAG), and the engineering of agentic systems using the AWS Bedrock Agent Core framework. You will work within the AI Platform Services division, a dedicated R&D unit tasked with delivering measurable velocity improvements to the entire organization.

Why Join Pennymac?
● Architect the Future of SDLC:
You will build the "Agent Factory" that drives our "conveyor belt" of software delivery, moving us from a reactive to a proactive engineering culture.
● Greenfield

Innovation: This is a rare chance to build an enterprise-grade AI platform from the ground up, leveraging the latest in AWS Bedrock Agent Core and Agentic AI frameworks.
● High-Impact & Visibility:
Your work will directly impact the daily lives of hundreds of engineers and product owners, reducing "Idea-to-MR" cycle times and eliminating manual toil.
● Cutting-Edge Stack:
Work with a modern, cloud-native stack (AWS, Node.js/Type Script) specifically tailored for high-performance AI applications. A Typical Day Who We Are The Pennymac technology team is building a new division to fundamentally change how we build software. We are creating an AI-powered platform designed to be a force multiplier for our entire Digital Technology Organization. Our mission is to build the next generation of intelligent developer tools that will accelerate our SDLC, automate tasks, and empower our product and engineering teams to deliver industry-leading mortgage technology faster than ever before.

This is a small, tight-knit, and fast-moving team working to rapidly build and deploy new AI tools that directly serve our fellow engineers and product managers. We are looking for a passionate, hands-on technologist to be a foundational member of this team. The Opportunity As the Principal Applied AI Engineer, you will be the lead architect of the "cognitive" layer of the AI platform.

While the Backend Principal builds the deterministic infrastructure, you will engineer the probabilistic systems that power our "Unified Context Library" and "Agentic Orchestration" layer. You will design the autonomous workflows that turn a Product Manager's idea into a technical specification, and a User Story into deployable code.

This role sits at the intersection of elite software engineering and applied artificial intelligence. You will not be training foundational models from scratch; rather, you will be mastering the art of Applied AI: orchestration, retrieval-augmented generation (RAG), and the engineering of agentic systems using the AWS Bedrock Agent Core framework. You will work within the AI Platform Services division, a dedicated R&D unit tasked with delivering measurable velocity improvements to the entire organization.

Why Join Pennymac? Architect the Future of SDLC:
You will build the "Agent Factory" that drives our "conveyor belt" of software delivery, moving us from a reactive to a proactive engineering culture. Greenfield

Innovation: This…