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Technical Director, Generative AI

Job in 1200, Hilversum, North Holland, Netherlands
Listing for: twentysix
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 EUR Yearly EUR 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Technical Director, Generative AI

As a Technical Director, you’ll collaborate with cross-functional teams to define processes and deliver high-quality results through well-managed, on‑time and on‑budget projects. This is a leadership role combining technical strategy, hands‑on technical expertise, and execution. You will be responsible for discovery, shaping solutions, prototyping, guiding creative technologists and developers, owning the technical delivery and scale automation frameworks for our global clients.

We are looking for a Technical Director to lead the technical direction, planning, and delivery of AI‑driven production work across key client accounts. This role sits within our Transformation and Applied AI team, focused on building and scaling AI pipelines for image, video, text and content generation. The Technical Director acts as the technical counterpart to Solution Leads (Producers) and Creative Directors, ensuring what is sold can be realistically delivered from a technical perspective.

You will define how things get built, estimate technical efforts, and assemble the right technical team to execute. This role is focused on AI pipelines for image and video generation at scale, workflow automation and content production systems, model usage, fine‑tuning, and dataset considerations, connecting multiple tools, APIs, and systems into production‑ready pipelines.

Responsibilities
  • Own technical delivery end-to-end: from early estimations through production/development and final delivery
  • Define technical approaches for AI‑driven projects (image/video generation, automation pipelines, model training/fine‑tuning)
  • Translate ambiguous briefs into clear technical plans, asking the right questions around scope, assets, datasets, outputs, and constraints
  • Partner closely with Solution Leads and Creative Directors to align scope, timelines, and feasibility
  • Know how to assemble the right project team with required technical skills (e.g. Creative Technologists, ML engineers, backend developers)
  • Lead and guide technical teams during production, ensuring quality, avoiding scope creeps, and focusing on the right technical direction
  • Validate feasibility and manage trade‑offs between budget, timeline, and technical complexity
  • Identify risks early and communicate constraints, assumptions, and dependencies clearly
  • Review and guide implementation of AI pipelines (e.g. Comfy

    UI workflows, API integrations, automation systems)
  • Ensure technical quality and QA alignment, working with QA teams where needed
  • Be client‑facing when required, presenting technical approaches, documentation, and progress
About You The essentials
  • 1+ years in a Technical Director, Technical Lead, or similar production-focused leadership role
  • 5+ years of hands‑on experience in one of the focus areas:
    Creative Technology, Software Development, 3D/VFX, Real‑time Engines
  • Solid understanding of machine learning fundamentals - model architectures, training vs. inference, and fine‑tuning methods, and apply them in real‑world generative AI pipelines
  • Strong experience in scoping, estimating, and delivering technical projects
  • Hands‑on experience building or working with AI / generative pipelines, beyond text to image
  • Experience integrating APIs, automation workflows, or multi‑step pipelines
  • Ability to translate high‑level ideas into concrete technical plans
  • Strong understanding of production realities: timelines, budgets, resourcing
  • Comfortable leading technical teams and making architectural decisions
  • Ability to operate in ambiguous environments and bring structure quickly
  • Strong communication skills and ability to push back on unrealistic expectations
Not a must, but a plus
  • Academic or research background in Machine Learning, Computer Science, or related fields
  • Certifications in Machine Learning, Deep Learning, or Engineering
  • Experience leading cross‑functional technical teams (e.g. software engineers, ML engineers, creative technologists, AI artists)
  • Background in creative technology, real‑time systems, or virtual production pipelines
  • Experience building or supporting scaled content generation systems or working with CPG / enterprise clients
  • Experience in marketing…
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