Creative Teams
February 12, 2026

The Core Roles Required to Deliver Effective GenAI Work

The Core Roles Required to Deliver Effective GenAI Work
# Ask the Creative Team
# Creative Industry

An expansion on the roles from How to set up your team for AI.

Juliette Suvitha
Juliette Suvitha
The Core Roles Required to Deliver Effective GenAI Work

Creative Director

Owns: Vision, coherence, and strategic intent
The Creative Director defines why the idea matters. They ensure every output aligns with brand, audience, and objective.

What Good Looks Like

  • Clear creative territories, not just executions
  • Ability to translate strategy into visual and narrative direction
  • Strong judgement in AI output selection and refinement
  • Protects brand authenticity when AI “over-imagines”

Bespoke Skillsets for GenAI

  • High tolerance for iteration
  • Ability to evaluate AI outputs quickly and decisively
  • Understanding of workflow logic, even if not building it
  • Strong taste filter in high-volume generation environments





Art Director

Owns: Visual language and craft
The Art Director translates the vision into tangible visual direction.
In GenAI teams, they prototype, refine, and sometimes directly generate.

What Good Looks Like

  • Strong visual systems across formats
  • Consistent lighting, material, and color control
  • Knows when AI is “almost right” and how to push it further
  • Maintains fidelity across variants

Bespoke Skillsets for GenAI

  • Prompt fluency for image and motion tools
  • Deep understanding of camera, light, texture
  • Experience directing AI rather than just using it
  • Comfort working in iterative loops





Prompt Engineer

Owns: Prompt logic, output consistency, and quality gatekeeping
Designs and refines the exact instructions (prompts) used in LLMs across chats, sheets, agents, and workflow steps. Ensures that given structured inputs, the model produces reliable, on-spec outputs. 




Thinks deeply in cause-and-effect: “if I phrase it this way and constrain it like that, the output will behave this way.”





What Good Looks Like

  • Highly predictable outputs from varied but structured inputs
  • Minimal hallucination, drift, or format breakage
  • Modular, reusable prompt templates that scale across projects
  • Clear validation rules baked into prompts (success criteria, length, tone, required elements)

Bespoke Skillsets

  • Precision in language and instruction design
  • Deep awareness of model behaviors, quirks, and token economics
  • Mastery of formatting (JSON, Markdown, chain-of-thought, few-shot, etc.)
  • Rigorous testing of edge cases and iterative refinement
  • Ability to translate vague creative goals into enforceable prompt constraints





Agent Architect

Owns: End-to-end workflow structure, orchestration, and scoping
Leads the discovery and design of the full agent/workflow system—from inputs to final outputs. Defines the architecture (nodes, data flow, triggers, tools, loops, human-in-the-loop points) that creatives and prompt engineers operate within. Uses a structured scoping process to ensure nothing is missed before building.

What Good Looks Like

  • Clear, maintainable workflow maps with explicit data handoffs
  • No context or data loss between stages
  • Robust handling of edge cases and constraints
  • Modular, reusable components that scale and allow partial automation
  • Accurate effort/cost estimates based on volume and performance needs

Bespoke Skillsets

  • Systems thinking and process mapping
  • Structured requirements gathering (goals, inputs, triggers, manual steps, bottlenecks, data flow, tools/APIs, constraints, quality criteria, outputs, modularity, scale)
  • Understanding of automation platforms, orchestration logic, and tool integration
  • Ability to balance creative flexibility with structural rigor
  • UX mindset for internal tools (how humans will trigger, monitor, and intervene)





Creative Technologist

Owns: Model testing and feasibility
They sit between ambition and reality.
They test model limits before the client sees them.

What Good Looks Like

  • Early identification of model weaknesses
  • Smart model selection per task
  • Documentation of performance differences
  • Guardrails around compliance and fidelity

Bespoke Skillsets

  • Deep familiarity with multiple GenAI tools
  • Technical experimentation mindset
  • Troubleshooting instincts
  • Understanding of format constraints





GenAI Designer / Creator

Owns: Generation and adaptation.
Executes visual outputs at scale.

What Good Looks Like

  • Consistent output quality across variants
  • Strong control of lighting and material realism
  • Efficient A/B testing outputs
  • Clean asset organization

Bespoke Skillsets

  • Prompt adaptation per model
  • Version control discipline
  • Understanding of brand color and proportion consistency
  • Familiarity with Nano Banana, Imagen, etc.





GenAI Copywriter

Owns: Narrative and message iteration
Develops adaptable copy across variants and formats.

What Good Looks Like

  • Strong hooks for short-form
  • Clear messaging hierarchy
  • Tone consistency across outputs
  • Efficient A/B messaging tests

Bespoke Skillsets

  • Instructional prompting
  • Understanding of claim compliance
  • Adaptability across channel formats
  • Data-informed headline iteration





Digital Artist

Owns: Quality control and enhancement
Polishes outputs without breaking identity.

What Good Looks Like

  • Artifact correction without hallucination
  • Logo and label fidelity protection
  • Texture correction
  • High-resolution output control

Bespoke Skillsets

  • Strong eye for detail
  • Understanding of restoration vs alteration
  • Mastery of enhancement workflows
  • Precision mindset





Motion Designer

Owns: Movement and transitions
Turns static generations into living sequences.

What Good Looks Like

  • Natural motion arcs
  • Realistic physics
  • Clean transitions
  • Narrative pacing

Bespoke Skillsets

  • Veo, Sora, start-end frame logic
  • Understanding of motion continuity
  • Timing sensitivity
  • Sound layering awareness





Video Editor

Owns: Cohesion and final output
Ensures the final piece feels like an ad, not a test.

What Good Looks Like

  • Strong pacing
  • Narrative clarity
  • Seamless cuts
  • Channel-appropriate formatting

Bespoke Skillsets

  • Compression and export knowledge
  • Platform specs awareness
  • Music and VO integration
  • Ability to hide AI seams

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