Principal Software Engineer - AI & Cloud Systems

Principal Engineer - Agentic Engineering

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.

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.

We are looking for a visionary Principal Engineer to act as the single-threaded owner for our Agentic SDLC Strategy. You will not just use AI; you will architect the ecosystem where GitHub Copilot operates as an autonomous agent—handling code generation, incident response, and documentation within a secure, observable Equifax framework.

What You’ll Do:

• Strategic Roadmap: Define and own the internal product roadmap for GitHub Copilot, treating it as a first-class engineering platform.

• Agentic Orchestration: Design and manage the Model Context Protocol (MCP) toolset to enable Copilot to interact with ServiceNow, Atlassian, DataDog, and GCP.

• Context Engineering: Translate Equifax engineering standards into version-controlled custom instructions and RAG (Retrieval-Augmented Generation) frameworks to shape Copilot’s persona.

• Governance & Security: Establish a "human-in-the-loop" framework for critical actions and enforce code-driven RBAC for GitHub Actions and APIs.

• Observability: Implement a robust stack to track Copilot’s KPIs, monitoring the effectiveness of the agentic system and optimizing prompt accuracy.

• Leadership: Mentor senior engineers across Pune and Trivandrum, collaborating with SRE and DevSec leads to ensure compliance with EFX secure software guidelines.

What You’ll Need:

• Experience: 10+ years of total software engineering experience (7+ years in cloud-native distributed systems).

• Core Tech: Expert-level proficiency in Python, Node.js, or Go (preferred for LLM orchestration) and familiarity with Java/SpringBoot.

• AI/LLM Expertise: 2+ years of experience working with LLMs, Prompt Engineering, and building agentic workflows (Tool-use/Function-calling).

• Cloud & DevOps: Deep experience with GCP or AWS, Kubernetes (GKE), and Infrastructure as Code (Terraform/Helm).

• GitHub Mastery: Advanced knowledge of GitHub Actions, GitHub Apps, and REST/GraphQL APIs.

• Education: Bachelor’s degree in Computer Science or a related technical field.

What Could Set You Apart:

• Early adoption and implementation of Model Context Protocol (MCP).

• Proven track record of building RAG systems or developer productivity tools at scale.

• Experience with event-driven architectures reacting to GitHub webhooks.

• Contributions to open-source AI projects or developer tooling.

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

IND-Trivandrum-Equifax Analytics-PEC

Function:

Function - Tech Dev and Client Services

Schedule:

Full time

Experience Level

Senior Level