Equifax is seeking a visionary AI engineer to lead our technology transformation initiative. The ideal candidate will lead a talented team in architecting and deploying cutting-edge, cloud-native solutions for a large enterprise.

Company: Equifax

Role: Lead AI Engineer

Location: Pune, India

Experience:

7+ years in software engineering, with a strong track record of technical leadership and shipping complex, scalable systems
2+ years in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems
1+ years of direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks
2+ years of in-depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.)
3+ years of proven experience leveraging Kubernetes workloads

Key Skills:

Python
JavaScript/TypeScript
Java
LangChain
LangGraph
Google Cloud Platform (GCP)
Kubernetes
Docker
Terraform
CloudFormation
Github Actions
Argo CD
Jenkins
SQL
NoSQL
MongoDB
DynamoDB
Firestore
Langfuse
GitHub Copilot
Gemini

Qualification:

Bachelor's degree or equivalent experience

Role Focus:

Implement Sophisticated AI Agents: Design, build, and deploy complex AI agents using LangChain and LangGraph
Master Prompt & Context Engineering: Design, test, and refine complex prompts and contextual data frameworks
Lead AI Research & Innovation: Identify, prototype, and integrate the latest foundational models, RAG techniques, and agentic frameworks
Build for Production Scale on GCP: Engineer and operate AI systems in a scalable, reliable production environment on Google Cloud Platform
Champion MLOps for Agentic Systems: Establish and lead best practices for the reliability, versioning, monitoring, and observability of AI agents
Collaborate to Deliver Impact: Partner closely with product leaders, data scientists, and other engineers to translate business needs into technical reality
Champion modern software development practices by actively using AI code-assist tools
Build, manage, and mentor a cross-functional team of software, quality, and reliability engineers
Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations (DevSecOps, FinOps) best practices

Additional responsibilities:

Lead troubleshooting efforts to resolve production and customer issues
Participate and lead agile team activities, including Sprint Planning and Retrospectives
Drive up-to-date technical documentation including support, end user documentation and run books
Create and deliver technical presentations to internal and external technical and non-technical stakeholders

Nice to have:

Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama
Experience creating and deploying AI agents to production environments
You are adept at leveraging modern development tools, including AI-powered code assistants (like GitHub Copilot), to accelerate the development lifecycle and rapidly ship high-quality features

Other:

Hybrid work setting
Comprehensive compensation and healthcare packages
Attractive paid time off
Organizational growth potential through online learning platform with guided career tracks

Lead AI Engineer

Skills Required

Description