Senior AI Platform Engineer

Guardian Life; India; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Guardian Life in India is seeking a Senior AI Platform Engineer to lead design and evolution of the enterprise AI Platform, setting standards and building reusable capabilities across AI, governance, and production operations.

The successful candidate will drive platform governance, ML/GenAI workloads, and cloud-native infrastructure. Location options include Chennai or Gurgaon; visa sponsorship is not available at this time.

Qualifications

• 7+ years in AI Platform Engineering or related field.
• Experience designing cloud-native distributed platforms and AI/GenAI workloads.
• Experience building enterprise-grade platform capabilities and governance.

Responsibilities

• Define platform standards and architect reusable capabilities across AI/ML stacks.
• Drive enterprise adoption of AI and Agentic technologies and governance frameworks.
• Lead implementation of agent runtimes, LLM inference, and observability tooling.

Skills

AI Platform

Cloud-native

Distributed systems

Kubernetes

Terraform

CI/CD

LLMOps

Observability

Tools

AWS

EKS

GitHub Actions

OpenTelemetry

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

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.