Junior AI Art Director

Pattern is hiring a part-time Junior AI Art Director (20 hours/week) in Lehi, UT (onsite), working with creative, engineering, and studio teams to vet and improve AI-generated ecommerce content for hundreds of global brands.

Responsibilities

• Review and audit automated AI outputs across images, copy, and video for visual quality and brand alignment
• Experiment with multiple image generation models and tools (including Nanobanana ChatGpt Image, Qwen, Weavey, and local generative workflows) to cover diverse product categories
• Perform spot-checks against quality benchmarks to verify that data source assets perform in both training and generation environments
• Work onsite with the studio team to understand capture setups and ensure studio photography is tuned for high-fidelity content
• Deliver structured, actionable aesthetic feedback to engineering and technical teams to tune and improve the generative engine

Requirements

• Strong taste and visual judgment from experience in graphic design, photography, marketing, or fine arts to evaluate brand compliance and imagery quality
• Open-minded, eager attitude toward AI and generative image tools, including technical systems for creative production and node-based workflows
• Ability to translate abstract brand and visual concepts into precise feedback teams can act on
• High energy and comfort with rapidly evolving systems, changing parameters, and pioneering new creative territory
• Ability to work onsite in the office (ideally Mondays, Wednesdays, and/or Thursdays) with periodic studio visits

Technologies

• Nanobanana ChatGpt Image
• Qwen
• Weavey
• ChatGPT
• Gemini
• Midjourney
• Figma Weave
• Weave

Benefits

• Accrued PTO
• Paid Holidays
• Onsite Fitness Center
• Company Paid Life Insurance
• Casual Dress Code
• Competitive Pay
• Health, Vision, and Dental Insurance
• 401(k) match: Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred

What a day in the life looks like

• Vetting Creative Outputs: Audit automated AI image generations, copy, and video content for visual quality and brand alignment
• Testing and Prompting: Try different image generation models and tools (including Nanobanana ChatGpt Image, Qwen, Weavey, and local workflows) to test creation across product categories
• Building Auditing Rules: Spot-check generated imagery against quality benchmarks, including how assets behave in model training and generation environments
• Studio & Portal Collaboration: Work onsite with the studio team to understand capture setups and confirm studio photography supports high-fidelity outputs
• Feedback Loops: Send structured, actionable aesthetic feedback to engineering to tune and improve the generative engine

High performance looks like

• Execution & Output Quality: Identify aesthetic defects, fine-tune model inputs, and maintain high output standards in collaboration with senior leadership
• System Integration: Build and document auditing rules that improve the automated generation pipeline
• Team & Cross-Functional Impact: Serve as a bridge between creative, studio operations, and engineering
• Proactive Problem Solving: Test new generative models and content generation workflows, including R&D tools ahead of full rollouts

Potential for career growth

• Pioneer Experience: Gain cutting-edge experience at the intersection of AI generation and commercial art direction
• Mentorship: Work under senior creative leadership to build skills in visual judgment, prompt engineering, and model-tuning
• Role Expansion: Opportunity to transition from part-time (20 hours/week) into full-time as content production scales up
• Cross-Functional Exposure: Build working relationships with engineering, studio management, and cross-departmental teams across Pattern

First 30, 60, 90 days

• First 30 Days: Build familiarity with internal content generation processes, branding guidelines, and cross-functional workflows
• First 60 Days: Vet engine output independently and identify the visual feedback standards expected by leadership
• First 90 Days: Communicate precise feedback to engineering teams and take point on spot-checking portal data capture systems

Team details

• Reports directly to the Director of AI Content
• Collaborates with the Studio Head, Portal Stylists, Partner Art Directors, Pattern Labs, and other departments including Engineering, Tech, and Marketing
• Mentored by the Director of AI Content
• Joins a growing team of creative and technical professionals

Company values

• Game Changers: Approach problems with an open mind, share new ideas, reassess plans with realistic timelines, and pursue improvements to processes and outcomes
• Data Fanatics: Use data to understand problems, draw unbiased conclusions, implement actionable solutions, and track results with data
• Partner Obsessed: Clearly explain project status, rely on constructive feedback, listen to partner expectations, and deliver results that exceed them
• Team of Doers: Lift team members, take initiative, support improvements, and stay accountable to both the team and partners

Hiring process

• Video interview with Talent Acquisition
• Video Interview with Hiring Manager
• On-Site Interview
• Video Interview with Department Leader
• Professional reference checks
• Executive review
• Offer

How to stand out as an applicant

• Portfolio (nice-to-haves): Share a visual portfolio showing fine art, photography, graphic design, or commercial advertising work
• Tool exposure (nice-to-haves): Prior experience with node-based workflow tools (such as Weave/Figma Weave) or basic prompting with generative tools (ChatGPT, Gemini, Midjourney)
• Background/training: Training or background in Graphic Design, Photography, or Commercial Marketing
• Interview tips: Walk through portfolio examples that show eye for detail, composition, and brand consistency; system design experience is a plus
• Show AI curiosity: Provide concrete examples of experiments or AI tool use in personal, academic, or professional projects
• Demonstrate interdisciplinary thinking: Discuss technical concepts comfortably while keeping aesthetic quality and user experience in focus