Senior Lead Engineer - AI Platform

Guardian Life; Chennai District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Guardian Life is seeking a Senior AI Platform Engineer to act as a technical leader and architect for the company's enterprise AI Platform. The role spans experience, governance, and execution planes to shape scalable, reusable capabilities and standards.

The ideal candidate will define platform standards, drive enterprise adoption of AI and Agentic technologies, and build enterprise-grade platform capabilities across AI/ML workloads.

Qualifications

• 7+ years of AI Platform Engineering experience.
• 3+ years designing cloud-native distributed platforms.
• 3+ years architecting AI/ML or GenAI platforms.
• Proven experience building enterprise-grade platform capabilities.

Responsibilities

• Define platform standards for Guardian's enterprise AI Platform.
• Lead architecture across AI platform stack (Experience Plane, Control Plane, Execution Plane).
• Drive enterprise adoption of AI and Agentic technologies.
• Architect scalable, reusable platform capabilities for AI workloads.

Skills

AI platform engineering

Distributed platform design

GenAI/AI/ML platform architecture

Enterprise-grade platform capabilities

Tools

AWS

EKS/Kubernetes

Serverless architectures

Terraform

GitHub Actions

CI/CD platforms

Cloud Observability (OpenTelemetry, Splunk)

Job description

We are seeking a highly skilled Senior AI Platform Engineer to serve as a technical leader and architect responsible for designing, building, and evolving Guardian's enterprise AI Platform.

This role will provide architecture leadership across the AI platform stack, spanning:

• Experience Plane – AI developer experience, SDKs, AI Studio, agent builder frameworks, developer portals and reusable platform assets
• Control Plane – AI governance, policy enforcement, guardrails, evaluation frameworks, AI registry, observability, and FinOps
• Execution Plane – Agent runtimes, LLM inference, orchestration frameworks, MCP services, AI gateways, RAG infrastructure and production operations

The ideal candidate is a hands‑on architect capable of defining platform standards, building reusable capabilities, solving complex engineering challenges, and driving enterprise adoption of AI and Agentic technologies.

Required

• 7+ years of AI Platform Engineering experience.
• 3+ years designing cloud-native distributed platforms.
• 3+ years architecting AI/ML or GenAI platforms.
• Proven experience building enterprise‑grade platform capabilities.

Preferred

• Experience building Control Plane architectures.
• Experience with enterprise‑scale AI governance.
• Experience supporting production GenAI workloads.
• Experience building AI platforms within regulated industries.

Cloud & Platform Engineering

• AWS
• EKS / Kubernetes
• Serverless Architectures
• Infrastructure as Code
• Terraform
• GitHub Actions
• CI/CD Platforms

AI Platform Technologies

• AWS Bedrock
• Model Gateways
• Vector Databases
• RAG Architectures
• AI Studio Platforms
• Agent Runtime Platforms
• API Gateways

Observability & Operations

• Splunk
• CloudWatch
• OpenTelemetry
• AppDynamics
• Monitoring & Alerting
• LLMOps
• AgentOps

Location

This position can be based in any of the following locations:
Chennai, Gurgaon