P

Paramount Global

Joint venture producing film, television content

Lead Enterprise Solution Analyst

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeLos Angeles, CA, USAIn-person

About the Job

Requirements

  • At least 8 years of experience in infrastructure architecture, AI platforms, or enterprise systems integration, including hands-on development using Python and API-based services.
  • Strong expertise in Azure cloud services and demonstrated experience building and operating CI/CD pipelines, Git-based version control, and cloud-native deployments using App Services, Functions, or containers.
  • Demonstrated technical lead experience, including leading or coordinating offshore or globally distributed engineering teams, establishing engineering standards, and delivering enterprise-scale AI, automation, or orchestration solutions.

Responsibilities

  • Design and implement the AI orchestration layer connecting automation engines, AI agents, and enterprise applications.
  • Build infrastructure pipelines supporting AI/ML deployment and Azure web application services across cloud environments.
  • Define and enforce standards for MLOps, APIs, observability, and compliance for enterprise-scale operations.
  • Partner with product, data, and engineering teams to translate strategic business needs into reusable AI platform components.
  • Ensure adherence to internal AI guardrails, SLAs, and security and compliance standards.

Desired Qualifications

  • Experience designing or implementing AI orchestration frameworks, including multi-agent systems, workflow coordination, or retrieval-augmented generation (RAG) patterns.
  • Familiarity with enterprise automation platforms such as Automation Anywhere, UiPath, or equivalent RPA tools.
  • Experience building and deploying API-driven services using frameworks such as FastAPI, with configuration-driven logic using YAML or JSON.
  • Working knowledge of containerization with Docker and cloud-native deployment strategies across multiple environments.
  • Experience implementing observability, logging, telemetry, and monitoring for distributed AI and automation platforms.
  • Solid understanding of MLOps practices, including model lifecycle management, versioning, and governance.
  • Ability to collaborate with product, data, security, and platform teams to deliver reusable, enterprise-scale AI capabilities.
  • Technical documentation and architectural communication skills for executive and engineering audiences.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience.

About the Company

Paramount Global

Joint venture producing film, television content

Preparing a concise company summary based on the provided description.

Company size
10,001+
Company stage
IPO
Headquarters
Los Angeles, CA
Founded
1912

Recently Posted Jobs

Explore more opportunities at Paramount Global

See more jobs