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Creative Technologist – Video ​/ AI Content Production

Job in Penarth, Vale of Glamorgan, CF64, Wales, UK
Listing for: BLAZECORP PTE. LTD.
Full Time position
Listed on 2026-08-05
Job specializations:
  • Business
    AI Evaluation
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below

Creative Technologist - Video / AI Content Production

HP is building a marketing production engine - an AI-enabled, template-driven content factory that lets marketers produce assets at scale without needing prompt engineering skills. The Creative Technologist is the bridge between marketing intent and AI execution: turning HP's current agency outputs into repeatable generation playbooks that run through pre-set templates, prompts and AI workflows, within brand guardrails, at scale.

This is not a "prompt artist" role. It's a production-grade builder who can take a messy real brief and turn it into a system.

What this person owns
  • Recreating agency-quality outputs via AI (copy, images, video) using LLMs (Claude, Writer.ai, Firefly) and Adobe Express patterns
  • The content logic layer that keeps outputs consistent:

    Prompt recipes / structured prompts

    Variant strategy (3 versions + rationale)
    Brand voice application

    Localization-ready copy behaviour

    Template-fit rules (character limits, safe zones, layout integrity)
  • Operational quality: defining what "good" means, reducing regen loops, driving first-pass success
Not in scope
  • Building the full vendor capability stack end-to-end (Adobe Consulting handles the heavy lift)
  • Marketer UI / Smart Brief product ownership
Responsibilities
1. Translate agency outcomes into AI-enabled "recipes"
  • Audit current agency deliverables for NPIs and define:

    Inputs needed (product data/specs, claims, tone, persona, market)
    Output specs per use-case (IAB, RMN, A+ modules, annotated images)
    Non-negotiables (logos, legal lines, DISCLAIMERS, accessibility requirements)
  • Build generation playbooks - the system, not the generation itself - that reliably produce copy packs, lifestyle/close-up/ecosystem shots, and templated imagery variants (compositions via ingredients)
2. Partner with Adobe resources to implement and harden workflows
  • Co-design workflow behaviour: staged generation (copy first, heavy assets second), guardrails and fallback logic (missing data, model failure), cost controls (no expensive generation until copy is approved)
  • Validate outputs against HP standards and create a benchmark pack: pass/fail rubric, regen triggers, approval readiness
3. Quality, governance and continuous improvement
  • Own the loop: capture reviewer feedback (what failed and why), tune prompt recipes and variant logic, reduce failure modes over time
  • Drive measurable improvement in first-pass success rate, regen rate and QA fail reasons
4. Enablement - make marketers effective without prompt engineering
  • Produce simple, reusable enablement assets: "how to get a great output" guidelines (without "prompting"), example briefs, do/don't patterns, and a playbook per use-case
Required qualifications
  • 5+ years in creative production, creative technology or content systems (agency, studio or in-house)
  • Hands-on experience with AI prompting and workflows for copywriting systems and design production workflows
  • Strong working knowledge of the Adobe ecosystem (Firefly + Creative Cloud; Express template logic a big plus)
  • Comfort with experimentation and rigour - able to run AI tests, compare outputs and document what works
  • Able to work directly with Adobe teams and HP stakeholders without hand holding
Strongly preferred
  • Experience with template-driven, at-scale production
  • Familiarity with automation, even lightweight: structured prompt frameworks, metadata discipline, repeatable QA
First 90 days - deliverables
  • 3-5 priority use-cases (e.g. annotated images pack, screen-fill hero, SKU copy pack, short video cutdown)
  • Benchmark pack, v1 generation playbooks (inputs -> outputs -> constraints -> guardrails), template-fit rules, and a feedback loop process with Adobe FDEs and HP reviewers
  • Measurable reduction in manual rework, regen cycles and time-to-approval
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