# AI Platform Engineer III at RELX

RELX is hiring an AI Platform Engineer III in Gurugram, India. Level rates it Works on AI ●●●○; you can [apply on RELX](https://jobsbylevel.com/go/be62bc44-5b37-4658-bd35-10d00f453e58?utm_medium=ai-agent).

AI Level 3, AI centrality 70 out of 100. Gurgaon.

## Details

- Company: [RELX](https://jobsbylevel.com/companies/relx)
- AI level: AI Level 3 (score 70 out of 100)
- Location: Gurgaon
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/be62bc44-5b37-4658-bd35-10d00f453e58?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=ai-platform-engineer-iii-at-relx-e7c8a8

## Prepare for this job

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## Description

Systems Engineer III Do you enjoy creating efficiencies through automation? Would you like to take ownership of implementing successful change management? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/ About the Team: Team is tech hub for rest of the organization and hence working across multiple domains – US Healthcare, Insurance, Government etc. Team primarily works on data extraction, manipulation, loading, and analytics using technologies like Python, PySpark, Bigdata – HPCC, language ECL, Talend, Azure tools (Data Synapse, ADF etc), Power BI, Essbase, OCI, etc. About the Role As a Systems Engineer III (AI Platform Engineer), you will help engineer, operate, and scale enterprise AI platforms that enable AI adoption across the organization. You will work across Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI Foundry, enterprise agents, and emerging AI technologies to create secure, governed, and automated platform foundations required for AI at enterprise scale. This role combines AI platform engineering, automation, integration, security, and operational governance while partnering with teams across Microsoft 365, Enterprise AI, Security, IAM, Architecture, ServiceNow, and FinOps. Responsibilities Engineer and administer Microsoft 365 Copilot, Copilot Studio, Agent 365 and associated enterprise AI services. Configure and operate governed environments for enterprise AI and agent development. Support the end-to-end lifecycle of AI agents, including development, testing, promotion, operation and retirement. Engineer Power Platform Managed Environments, environment routing and appropriate access controls and implement and maintain DLP policies, connector controls and environment-level guardrails. Develop repeatable ALM and deployment patterns for Copilot Studio, Power Platform and agent solutions. Build automation to reduce manual platform administration and improve operational efficiency. Integrate AI platforms with enterprise services using REST APIs, Microsoft Graph, OAuth, service principals, managed identities, connectors and MCP. Develop automated reporting covering platform health, adoption, governance, agent inventory and consumption. Support investigation and remediation of ungoverned, orphaned or incorrectly configured AI assets. Produce technical documentation, operational procedures and reusable engineering standards. Work with Security, IAM and Architecture teams to ensure AI platform solutions follow enterprise security and identity standards. Requirements Experience administering and engineering Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, or similar enterprise platforms. Knowledge of governed platform operations, access controls, security guardrails, and environment management. Experience implementing DLP policies, connector governance, and platform controls. Understanding of application lifecycle management (ALM), deployment automation, and platform engineering practices. Experience integrating enterprise services using REST APIs, Microsoft Graph, OAuth, service principals, managed identities, connectors, and MCP. Knowledge of AI platform governance, operational reporting, inventory management, and service monitoring. Familiarity with consumption-based services, usage reporting, and operational cost controls. Ability to create technical documentation, operational standards, and engineering procedures. Experience

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