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Lead – Enterprise AI Platforms & MLOps

Job in Culver City, Los Angeles County, California, 90232, USA
Listing for: AMA Global Technology Inc
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Title:
Lead – Enterprise AI Platforms & MLOps

Location:
Culver City, CA (100% Onsite)

Contract: C2C/W2

Duration: 12 Months with Potential to Extend

Visa:
Any

Role Overview

Seeking an Onsite Lead – MSP Platform Support to drive operational excellence across enterprise AI platforms including ChatGPT, Moveworks, and Machine Learning Operations (MLOps) on AWS and Azure

This role is a hands‑on Project Lead position with strong coordination and leadership responsibilities. The individual will act as the primary onsite point of accountability, leading offshore teams, ensuring platform stability, and owning governance, compliance, and operational delivery for enterprise AI services.

The role reports to the Director of Advanced Technologies and plays a critical role in enabling scalable, secure, and compliant AI adoption across the enterprise.

Key Responsibilities Platform Ownership & Operations
  • Own day‑to‑day operations of enterprise AI platforms including ChatGPT, Moveworks, and MLOps platforms across AWS and Azure
  • Ensure availability, reliability, and performance through monitoring and proactive issue resolution
  • Manage platform configuration, access, and integrations
Offshore Team Leadership & Delivery
  • Lead offshore engineering and support teams with clear accountability and delivery tracking
  • Drive sprint execution, daily standups, and backlog management
  • Serve as escalation point for production issues
Governance, Compliance & Risk Management
  • Drive governance for ChatGPT and Moveworks platforms
  • Ensure policy enforcement, audit readiness, and data security compliance
  • Partner with Info Sec, Legal, and Privacy stakeholders
Machine Learning Operations (MLOps) Administration
  • Oversee MLOps platforms across AWS and Azure
  • Manage model pipelines, workflows, and environments
  • Implement monitoring and failure recovery mechanisms
Stakeholder Communication & Reporting
  • Act as communication bridge between technical teams and business stakeholders
  • Provide clear updates on platform health and risks
  • Analyze platform usage and performance trends
  • Identify opportunities for optimization and automation
Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in platform operations or cloud engineering
  • Experience managing distributed teams
  • Strong knowledge of AWS/Azure and AI/ML systems

Preferred:

  • Experience with ChatGPT Enterprise, Moveworks, Amazon Quick, Microsoft Copilot Studio or similar platforms
  • Knowledge of MLOps tooling and AI governance frameworks
  • Strong communication and stakeholder engagement skills
  • Leadership and ownership mindset
  • Execution and delivery focus

This role is positioned as a Project Lead with ownership of supporting enterprise AI platforms and governance.

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