Senior AI Platform Engineer

Guardian Life; Gurgaon; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Guardian Life in India seeks a Senior AI Platform Engineer to lead design, build, and evolution of our enterprise AI Platform. You will provide architecture leadership across the Experience, Control, and Execution planes and shape platform standards.

You will build reusable capabilities, tackle complex engineering challenges, and drive enterprise adoption of AI and Agentic technologies. Location options include Chennai or Gurgaon, with on-site collaboration.

Qualifications

• 7+ years 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

• Provide architecture leadership across the AI platform stack (Experience, Control, Execution).
• Define platform standards and build reusable capabilities.
• Drive enterprise adoption of AI and Agentic technologies.
• Collaborate with cross-functional teams to deliver scalable solutions.

Skills

AI Platform Eng

Cloud-native design

GenAI platforms

Enterprise-grade platform

Tools

AWS

EKS/Kubernetes

Terraform

GitHub Actions

CI/CD Platforms

OpenTelemetry

Splunk

CloudWatch

Job description

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