AI Media Automation Engineer

AI Media Automation Engineer

Department: AI Transformation / Digital Innovation
Company: Columbia Pictures Aquaverse
Reports to: AI Transformation Lead

Role Overview

Columbia Pictures Aquaverse is looking for an AI Media Automation Engineer to build and operate AI-powered systems for image, video, advertising creative, and visual content production.

This is not a traditional graphic designer or video editor role.

The position focuses on turning media production into a repeatable automated system. The successful candidate will work with real company footage, photography, architectural plans, brand assets, campaign briefs, AI image models, AI video models, and performance data.

The objective is to automate as much of the creative-production process as possible while continuously improving the quality and performance of the output.

Key Responsibilities

AI Image & Video Generation

• Create high-quality AI-generated images and videos for marketing, advertising, social media, websites, presentations, and future-project visualization.

• Use real photographs, existing footage, architectural drawings, structural plans, references, and company assets as inputs.

• Generate realistic concepts of attractions, developments, events, or environments before they are physically completed.

• Work with text-to-image, image-to-image, text-to-video, and image-to-video models.

• Maintain consistency in locations, structures, characters, branding, lighting, and visual style.

Media Automation

• Build automated workflows for:

  • Video creation.

  • Video editing.

  • Image generation.

  • Image editing.

  • Social-media content.

  • Advertising creatives.

  • Campaign variations.

  • Resizing and reformatting.

  • Captions and subtitles.

  • Brand overlays.

  • Music and audio.

  • Platform-specific exports.

• Connect AI models to the company media library so the system can automatically locate and use approved footage and images.

• Build workflows where a user can provide a simple brief and receive finished creative content with minimal manual production.

Automated Creative Pipeline

A typical system may work like:

Human brief

↓

AI searches approved footage and assets

↓

AI creates storyboard and creative direction

↓

AI generates missing scenes where required

↓

AI edits and assembles content

↓

AI creates multiple versions

↓

Human review

↓

Approved content exported or sent into campaigns

Creative Performance Optimization

The role must understand how creative performance data can improve future AI output.

The goal is not simply to generate more content.

The system should learn what performs well.

Example:

Generate 5 versions

↓

Run controlled campaign tests

↓

Collect performance data

↓

Identify winning hooks, scenes, formats, messaging, pacing and styles

↓

Use those findings when generating the next creative batch

The candidate should understand metrics including:

• Video watch time.

• First 3-second retention.

• Completion rate.

• Click-through rate.

• Engagement.

• Cost per click.

• Cost per conversion.

• Conversion rate.

• ROAS.

• Creative fatigue.

• Audience response.

Model Optimization & Selection

• Test and compare different AI image and video models.

• Determine which models are most suitable for different tasks.

• Improve prompting and reference workflows.

• Improve model consistency and output quality.

• Optimize generation cost and speed.

• Decide when self-hosted models can be used and when higher-quality paid models are required.

• Build reusable model workflows instead of relying on manual prompting every time.

Example Projects

• Photograph an unfinished attraction, combine the photographs with architectural plans, and generate realistic promotional visuals showing how the finished attraction will look.

• Turn those approved visuals into promotional videos.

• Build an automatic system that creates new advertising videos from the company media library.

• Automatically create several creative variations for testing.

• Use Meta Ads performance data to influence what the AI generates next.

• Convert one campaign into vertical, square, landscape, short-form, and advertising versions automatically.

• Build reusable AI workflows that Marketing can use without needing to understand the underlying models.

Required Skills

Candidates should have strong experience or practical knowledge in several of the following:

• Generative AI image models.

• Generative AI video models.

• Image-to-image generation.

• Image-to-video generation.

• Video editing.

• Creative automation.

• Prompt engineering.

• Reference-based generation.

• AI model APIs.

• n8n or similar automation tools.

• Basic Python and/or JavaScript.

• APIs and webhooks.

• Media asset management.

• Marketing and advertising creative.

Experience with tools such as ComfyUI, Runway, Veo, image-generation APIs, editing software, self-hosted models, or similar technologies is valuable.

Candidate Profile

We are looking for someone who is both creative and technical.

The ideal candidate should naturally think:

“How can I automate this process and make the system produce better content next time?”

rather than only:

“How can I manually create this one video?”

The person should be comfortable experimenting with new models and rapidly adapting as AI media technology changes.