Senior AI Platform Engineer

Guardian Life; Chennai District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Guardian Life in Chennai or Gurgaon is seeking a Senior AI Platform Engineer to lead the architecture and evolution of Guardian's enterprise AI Platform. You will guide design across Experience Plane, Control Plane and Execution Plane, shaping reusable capabilities and governance.

The ideal candidate has 7+ years in AI Platform Engineering, 3+ years building cloud-native distributed platforms, and 3+ years architecting AI/GenAI solutions, with a track record delivering enterprise-grade platform

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

• Design, build and evolve Guardian's enterprise AI Platform.
• Provide architecture leadership across Experience, Control and Execution planes.
• Drive adoption of AI and Agentic technologies across the enterprise.

Skills

Architectural leadership

Cloud-native platforms

GenAI experience

Tools

AWS

EKS/Kubernetes

Serverless

Terraform

GitHub Actions

CI/CD Platforms

AWS Bedrock

Model Gateways

Vector Databases

RAG Architectures

AI Studio Platforms

Agent Runtime Platforms

API Gateways

Splunk

CloudWatch

OpenTelemetry

AppDynamics

LLMOps

AgentOps

Job description

Chennai

Gurgaon

Full time

R000109712

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

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well‑being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well‑being – mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

Visa Sponsorship:

Guardian Life is not currently or in the foreseeable future sponsoring employment‑based visas (e.g., such as an H‑1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future.