AI Platform Engineer III
LexisNexis Risk Solutions (company site, opens in a new tab)Gurugram, Mumbai, ChennaiOn-siteDirect career pageEst. 18–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Engineer, operate, and scale enterprise AI platforms including Microsoft 365 Copilot, Copilot Studio, Power Platform, and Azure AI services to enable AI adoption at enterprise scale.
- Manage end-to-end lifecycle of AI agents: development, testing, promotion, operation, and retirement with secure, governed environments and access controls.
- Develop automation, ALM deployment patterns, integrate AI platforms with enterprise services, and provide operational governance including reporting and remediation.
Minimum Requirements
- Experience administering and engineering Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, or similar enterprise AI platforms.
- Knowledge of platform governance including access controls, DLP policies, security guardrails, and environment management.
- Familiarity with application lifecycle management, deployment automation, and integration via REST APIs, Microsoft Graph, OAuth, service principals, and managed identities.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in engineering and operational governance of enterprise-scale AI platforms across multiple Microsoft AI and automation tools.
- Capable of working cross-functionally with Security, IAM, Architecture, ServiceNow, and FinOps teams to ensure secure and compliant AI platform operations.
- Skilled in developing automation and repeatable deployment patterns for AI and Power Platform solutions, with strong operational documentation and reporting capabilities.