CareerPlanGet AI match score →

Lead AI Engineer

IND-Pune-Equifax Analytics-PEC💼 Full-time🗓 2026-07-02 → 2026-07-31

Core

Lead a team in architecting and deploying cloud-native AI agents and scalable APIs/microservices for enterprise claims lifecycle automation.

Role type

Senior IC Lead AI Engineer (Agentic AI & Cloud Architecture)

Builds

Production-grade AI agents, microservices, and PaaS/SaaS platforms on Google Cloud Platform

Domain

Financial services / Generative AI / Cloud Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Agentic AI frameworks (LangChain, LangGraph), Google Cloud Platform (Vertex AI), Kubernetes, Python, JavaScript/TypeScript, MLOps, Prompt Engineering, SQL/NoSQL databases, Infrastructure as Code (Terraform), CI/CD pipelines

Preferred skills

Generative AI models (Gemini, ChatGPT, Claude, Llama), AI-powered code assistants (GitHub Copilot, Gemini), Langfuse for observability

Technologies

LangChain, LangGraph, Google Cloud Platform, Vertex AI, Kubernetes, Docker, Terraform, GitHub Actions, Argo CD, Jenkins, PostgreSQL, MongoDB, DynamoDB, Firestore, Angular, React, Vue

Responsibilities

Design and deploy complex AI agents for decision-making; Engineer scalable AI systems on GCP; Establish MLOps best practices for agentic systems; Mentor cross-functional engineering teams; Define technical strategy and software roadmaps; Lead troubleshooting for production issues

Seniority

Senior, hands-on IC with leadership responsibilities

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workday ↗