AI Platform Reliability Engineer (Noida)

AI Platform Reliability Engineer (Noida)

13 Aug
|
HCLTech
|
Noida

13 Aug

HCLTech

Noida

Location - Noida, Bengaluru, Chennai, Hyderabad and Pune.

Role

An AI PRE Engineer (L4) acts as a Platform Reliability Architect and Production Readiness Leader responsible for defining, governing, and scaling enterprise-grade AI/ML platforms. This role ensures AI systems are production-ready, resilient, observable, secure, compliant, and cost-productive at scale, while driving standardization, automation, and platform-wide governance across AI engineering, SRE, DevOps, and MLOps disciplines. The L4 PRE acts as a strategic bridge between platform engineering, AI teams, and business leadership, ensuring reliability and scalability of AI solutions.

Responsibilities

Architecture & Production Readiness Governance

Define and govern enterprise-wide production readiness frameworks across: Platform, data, model, application, and security layers
Establish organization-wide PRE standards, policies, and maturity models
Define and drive release certification governance (PRR frameworks) across all AI workloads
Own production readiness lifecycle from design → deployment → scale





SLO/SLI Strategy & Reliability Engineering

Define and govern: SLO/SLI/SLA frameworks for latency, availability, quality, safety, drift
Error budget strategy at platform and business levels
Establish reliability engineering models for AI systems
Align SLOs with: Customer experience, business KPIs, and cost targets

Reference Architecture & Platform Design

Define and publish: Enterprise AI reference architectures for: LLM applications, RAG pipelines, vector stores, agent frameworks
Batch, real-time, and streaming inference systems
Standardize: Platform architecture patterns across multi-cloud and hybrid environments
Drive platform abstraction and reusable AI services
Design and architect the NVIDIA Enterprise AI Software stack and deployment of GPU enabled Kubernetes clusters.

Deployment & Release Engineering Governance

Define enterprise standards for: Safe deployment strategies (canary, shadow, blue

📌 AI Platform Reliability Engineer (Noida)
🏢 HCLTech
📍 Noida

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