PENNYMAC Pennymac is (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 homeownership through the complete mortgage journey. A Typical Day Who We Are The Pennymac technology team is building a new, dedicated R&D 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 AI Evangelist & Technical Instructor, you will be the "Head of Enablement" for the AI Agentic era. While the engineering team builds the "cognitive" layer and the infrastructure, you will build the workforce that wields them. You will be the bridge between the platform and the hundreds of engineers who rely on it. You will not just be teaching people how to use tools; you will be architecting a cultural and methodological shift from "writing code" to "orchestrating agents." You will design the curriculum that transforms our organization from traditional Agile development to the AI-Driven Development Life Cycle (AI-DLC). This role sits at the intersection of elite software engineering, advanced technical pedagogy, and developer relations (DevRel). You will serve as a subject matter expert, a teacher, and a champion for best practices, ideally bringing the high-impact instructional energy of a former coding bootcamp instructor to an enterprise scale. Why Join Pennymac? Define the New Engineering Standard: You will author the playbook for how software is built in the AI era, moving us from a reactive to a proactive engineering culture.2 Greenfield Innovation: This is a rare chance to shape the adoption of an enterprise-grade AI platform from the ground up, leveraging the latest in AWS Bedrock AgentCore, Agentic AI, and the Model Context Protocol (MCP). High-Impact & Visibility: Your work will directly impact the daily lives of hundreds of engineers and product owners. You will be the visible face of the AI transformation, driving the "100 man-years in 3 months" velocity capability. Cutting-Edge Stack: Work with and teach a modern, cloud-native stack (AWS, Node.js/TypeScript) specifically tailored for high-performance AI applications. What You'll Do (Responsibilities) Architect Technical Curriculum & Training ("The Academy") Design the AI-DLC Curriculum: Develop a comprehensive, leveled curriculum that transitions engineering teams from traditional SDLC to the AI-Driven Development Life Cycle (AI-DLC). This includes modules on "Mob Elaboration" (Phase 1), "Mob Construction" (Phase 2), and "Self-Healing Operations" (Phase 3). Develop "Repo Readiness" Standards: Create and teach technical workshops on how to instrument repositories for autonomous agents. This involves deep-diving into linting configurations, strict typing (TypeScript), and automated feedback loops that allow agents to self-correct. You will teach teams how to implement the 14 Core Best Practices for AI-ready codebases. Build the "Gym": Establish a dedicated training environment ("The Gym") where engineers practice manual debugging and "simulation steps" to prevent skill atrophy. You will design exercises that force engineers to spot "hallucinations" and verify AI outputs against Golden Datasets, ensuring they maintain critical reasoning skills even as they code less. Create Reusable Training Assets: Convert emerging best practices into high-quality, self-service training materials (video tutorials, interactive notebooks, and documentation) that explain complex concepts like RAG, Vector Embeddings, and Agentic Orchestration to a diverse technical audience. Drive AI Adoption & Evangelism ("The Champion") Internal Developer Advocacy: Act as the "Dev Tools Champion" for the Nexus platform. Embed with different "Initiative Pods" to identify friction points, gather feedback, and demonstrate how to leverage AI agents for specific tasks like automated code reviews, test plan generation, and epic decomposition. Facilitate "Mob Elaboration" Sessions: Lead by example in facilitating synchronous sessions between Product Managers, Tech Leads, and AI Agents to define rigorous specifications. Model the behavior of "interrogating the AI" to resolve ambiguity before coding begins. Community Building: Organize and host internal hackathons, "lunch and learns," and "AI Office Hours" to foster a community of practice. Identify and mentor "AI Champions" within other teams to scale your impact. Establish the "Reviewer-First" Culture: Evangelize the shift in value definition from "lines of code written" to "lines of code verified." Coach engineers on the psychological shift required to become "System Orchestrators" rather than "Bricklayers," helping them overcome the "loss of maker" identity. Technical Liaison & Feedback Loop ("The Interface") Product Feedback Cycle: Serve as the primary conduit between the user base (engineers) and the AI Platform Services engineering team. Translate user struggles and "hallucination" patterns into technical requirements for the platform team (e.g., "We need a better hallucination checkpoint for the React component generator"). Prompt Library Stewardship: Manage and curate the organization's Prompt Library using the internal Promp platform. Define the standards for "Prompt Engineering" as code, ensuring that high-value system prompts are version-controlled, tested, and shared across the organization. Stay Ahead of the Curve: Continuously research the rapidly evolving landscape of Generative AI (e.g., Amazon Nova, Claude 3.5 Sonnet, OpenAI o1) and synthesize these developments into actionable updates for the Pennymac engineering team. What You’ll Bring What We're Looking For (Qualifications) Must-Haves: Elite Engineering Foundation: Bachelor’s Degree in Computer Science or equivalent, with 5+ years of professional software engineering experience. You must be a competent coder who speaks the language of senior engineers. You are an engineer first, a teacher second. Instructor/Bootcamp Experience: Proven experience as a Lead Instructor or Curriculum Developer at a coding bootcamp (e.g., General Assembly, Hack Reactor, Flatiron) or in a technical enablement role at a major tech company. You know how to break down complex technical concepts for diverse learning styles and have experience taking learners from "zero to hero" in compressed timeframes. TypeScript/Node.js Proficiency: Our platform is built on Node.js and TypeScript. You must be able to read, write, and teach patterns in this ecosystem. You will be teaching others how to write strict TypeScript that agents can parse. Applied AI Mastery: Hands-on experience using and teaching LLM-based tools. You are a power user of Cursor, GitHub Copilot, or Devin. You understand the mechanics of RAG, Embeddings, and Agentic Workflows. You don't just prompt; you engineer the context. Communication & Presence: Exceptional public speaking and technical storytelling skills. You can command a room of skeptical senior engineers and get them excited about a new way of working. Startup Mentality: High ownership, high energy, and the ability to thrive in an undefined, fast-paced environment. You don't wait for a syllabus; you write it. Nice-to-Haves (Bonus Points): Experience with AWS Bedrock and AgentCore. Background in Developer Relations (DevRel) or Technical Evangelism at a platform company. Experience building or teaching Agentic Systems (LangChain, AutoGen). Familiarity with the Model Context Protocol (MCP). Why You Should Join As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: Comprehensive Medical, Dental, and Vision Paid Time Off Programs including vacation, holidays, illness, and parental leave Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations) Retirement benefits, life insurance, 401k match, and tuition reimbursement Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships We value the hard work and dedication of our employees. In addition to a competitive salary, positions may offer bonus opportunities. To learn more about our benefits visit: https://pennymacnews.page.link/benefits For residents with state required benefit information, additional information can be found at: https://www.pennymac.com/additional-benefits-information Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below: Lower in range - Building skills and experience in the role Mid-range - Experience and skills align with proficiency in the role Higher in range - Experience and skills add value above typical requirements of the role Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. Salary $90,000 - $150,000 Work Model OFFICE