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LexisNexis Risk Solutions

Data-driven risk assessment & analytics solutions

AI Platform Engineer 3

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

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 data loss prevention (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 the Model Context Protocol (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 collaborating with Security, Identity and Access Management (IAM), Architecture, Service Management, and cross-functional technology teams.

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 and environment routing, and implement appropriate access controls.
  • 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.

About the Company

LexisNexis Risk Solutions

Data-driven risk assessment & analytics solutions

LexisNexis Risk Solutions provides data, analytics, and decision tools to help organizations assess and manage risk across many industries. Its offerings combine large data sets with advanced analytics to support better decisions, improve operations, and protect consumers. By covering sectors like financial services, government, healthcare, insurance, retail, and public safety, the company helps customers evaluate likelihoods of risk, detect issues, and act more efficiently. The goal is to turn data into actionable insight that reduces risk, increases operational efficiency, and supports compliant, informed decision-making for its clients.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Alpharetta, GA
Founded
1997

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