Principal Engineer - Agentic Engineering

Equifax — IND-Pune-Equifax Analytics-PEC

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Job Description: 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. 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. Establi

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