Lead AI Platforms & Orchestration

This is a Full Time Job

#WeAreParamount on a mission to unleash the power of content… you in?
We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet – now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Overview and Responsibilities:

Paramount Tech is hiring an AI Platforms & Orchestration Lead to architect and oversee the enterprise AI orchestration framework, integrating automation, RPA, and multi-agent systems across the company's technology ecosystem. This role blends strategic architecture, infrastructure leadership, and hands-on engineering to ensure secure, scalable, and high-performance AI deployments.

Responsibilities Include:

• Designing and implementing the AI orchestration layer that connects automation engines, AI agents, and enterprise applications.
• Building infrastructure pipelines to support AI/ML deployment and Azure web application services across cloud environments.
• Defining and enforcing standards for MLOps, APIs, observability, and compliance to support enterprise-scale operations.
• Partnering with product, data, and engineering teams to translate strategic business needs into reusable AI platform components.
• Ensuring adherence to internal AI guardrails, SLAs, and security/compliance standards.

Basic Qualifications
• 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 with proven experience building and operating CI/CD pipelines, Git-based version control, and cloud-native deployments (App Services, Functions, 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.

Additional 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 / JSON.
• Working knowledge of containerization (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.
• Proven ability to collaborate with product, data, security, and platform teams to deliver reusable, enterprise-scale AI capabilities.
• Excellent 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