Principal Engineer, Agentic Engineering

Equifax is seeking a visionary Principal Engineer to lead the charge in revolutionizing our product embarking on a transformation journey. You will be the single-threaded owner responsible for transforming our software development lifecycle (SDLC) by orchestrating and extending the capabilities of GitHub Copilot. The ultimate goal is to create a highly leveraged engineering organization where Copilot acts as a true autonomous agent, handling complex tasks from code generation and testing to incident response and documentation, all while operating within a well-defined, observable, and secure framework you own.This role requires being in the office 3 days/week on Tues - Thurs.This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.What You'll Do* Define the strategic roadmap for the platform with GitHub Copilot, treating it as a first-class internal product. Architect the complete system for Copilot's invocation, context retrieval, and action execution using custom tools.* Design and manage the Model @context Protocol (MCP) toolset, enabling Copilot's interaction with third-party services like ServiceNow, Atlassian, DataDog, and GCP for context and action.* Engineer the strategy for providing scalable context to GitHub Copilot, shaping its persona and behavior by translating internal engineering standards into a centralized, version-controlled repository of custom instructions and integrating vendor-provided connectors for various contexts.* Design, test, and refine complex prompts and contextual data frameworks to ensure our coding agents perform with maximum accuracy, efficiency, and reliability.* Define and monitor key performance indicators (KPIs) for the agentic system's effectiveness and implement a robust observability stack to track Copilot's interactions for continuous optimization.* Establish the platform's security posture by implementing safeguards for custom tools and APIs exposed to Copilot, and design a "human-in-the-loop" framework for critical actions* Define and enforce granular, code-driven permissions (RBAC) for the custom GitHub Actions and APIs that Copilot can invoke, ensuring the principle of least privilege.* Demonstrate a deep understanding of cloud native, distributed micro service based architectures* Deliver solutions for complex business problems through software standard SDLC* Build strong relationships with both internal and external stakeholders including product, business and sales partners* Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed* Build and manage strong technical teams that deliver complex software solutions that scale* Provide deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure* Leverage strong experience in full stack software development and public cloud like GCP and AWS* Mentor, coach and develop junior and other engineers* Lead with a data/metrics driven mindset with extreme focus towards optimizing and creating efficient solutions* Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs* Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams* Collaborate with architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices* Drive up-to-date technical documentation including support, end user documentation and run books* Responsible for implementation architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions* Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriateWhat You'll Need* Bachelor's degree in Computer Science or equivalent experience* 7+ years of hands on software engineering experience* 7+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS* 7+ years experience designing and developing cloud-native solutions* 7+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes* 3+ years of github copilot experience, preferably an expert.* 3-5+ years of hands-on experience in building and architecting intelligent agent systems or platforms that integrate with LLMs.* Hands on experience deploying and releasing software using Github actions, Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructsWhat could set you apart* GitHub Ecosystem Mastery: Deep, hands-on expertise with the full GitHub platform, including GitHub Actions, GitHub Apps, webhooks, and the REST/GraphQL APIs.* Software Engineering Excellence: Senior-level proficiency in a language like Python, Go, or Node.js, with a deep understanding of software architecture and building scalable, maintainable services.* API and Integration Mastery: Demonstrable experience designing and consuming RESTful APIs and securely integrating disparate SaaS systems. Deep familiarity with the Model @context Protocol (MCP) and experience defining services that conform to its specification is a strong requirement.* Cloud-Native Proficiency: Deep familiarity with Google Cloud Platform (GCP), including Kubernetes, and IAM.* Systems Thinking: The ability to see the entire SDLC as an interconnected system and reason about how to inject Copilot for maximum leverage.* Event-Driven Architecture: Experience building systems that react to events, especially GitHub webhook events.* Applied LLM Expertise: Hands-on experience building applications that integrate with Large Language Models (LLMs), with a focus on practical application.* Tool-Use and Function-Calling Paradigm: A deep understanding of how to build and expose "tools" (APIs, functions, custom actions) for an LLM agent to consume.* Retrieval-Augmented Generation (RAG) Expert: Practical knowledge of designing, implementing, and optimizing RAG systems.* Pragmatic Agent Orchestration: The ability to orchestrate workflows around a pre-existing, powerful agent like Copilot.#LI-ES1#LI-Hybrid