AI Platform Engineer III

Do you enjoy creating efficiencies through automation?

Would you like to take ownership of implementing successful change management?

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 collaborating with Security, IAM, Architecture, Service Management, and cross-functional technology teams.

Certifications:

• AB-900: Microsoft 365 Copilot and Agent Administration Fundamentals
• Microsoft Certified: Power Platform Fundamentals

Our Commitment to Inclusion:

We welcome applications from individuals of all backgrounds, including underrepresented groups, people with disabilities, career changers, and candidates with non-traditional education or experience. If you require accommodations at any stage of the recruitment process, please let us know. We are committed to supporting your success.