AI Analyst
- Source: LinkedIn
- WPP Production
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
About WPP Production We are WPP Production - the unified global production company that brings together all of WPP’s content producers, studios and craft experts into one connected organisation. We combine world-class human craft with next generation technology to originate, design, and deliver multi-channel content systems at scale. Built for borderless collaboration and powered by deep craft expertise, we are the production engine designed for today’s always on, AI driven marketing world.
About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
The Role :
WPP Production is building the next generation of AI-powered content pipelines — and this role is at the centre of it. As a Generative Pipeline / Automation Engineer , you’ll bridge the gap between creative experimentation and production-grade scalability. Your mission: take generative AI workflows built in node-based platforms such as Weavy or ComfuUI and translate them into robust, automated pipelines using n8n and the broader WPP Open ecosystem.
This is a role for a creative technologist with an automation mindset . Someone equally comfortable deconstructing a node-based image generation workflow as they are designing API integrations and data pipelines. You’ll work closely with APAC Innovation teams and WPP Open Production stakeholders to ensure our generative capabilities can be deployed reliably, repeatedly, and at scale for some of the world’s biggest brands.
Key Responsibilities
- Design, build, and maintain automation workflows in n8n that operationalise creative processes for scalable content production
- Interpret, deconstruct, and prototype node-based generative AI workflows built in Figma Weave (Weavy), translating creative intent into automated, repeatable pipelines
- Collaborate with WPP Open Production / Automation stakeholders on workspace deployments, workflow architecture, and integration strategy
- Create API integrations connecting DAMs, PIMs, project management tools, and creative platforms into a cohesive production ecosystem
- Build reliable data pipelines that transform, validate, and route assets and metadata between systems – Creative Force?
- Stay current with emerging generative AI tools and models, evaluating their potential for integration into existing pipelines
- Document workflows, integration logic, and architectural patterns to enable cross-team knowledge sharing and continuity
Requirements :
Must Have:
- 4+ years’ experience in a creative technology, automation engineering, or technical production role — ideally within advertising, media, or content production
- Strong hands-on experience with n8n or comparable workflow orchestration tools (Make, Apache Airflow, or similar)
- Demonstrated understanding of node-based generative AI workflows — experience with Figma Weave (Weavy), ComfyUI, Freepik Spaces or similar visual pipeline builders.
- Working knowledge of generative AI models and tooling (e.g., Stable Diffusion, Flux, Google Imagen, Runway) and how they chain together in production contexts
- Proficiency in RESTful APIs, webhooks, JSON, OAuth, and data transformation patterns
- Scripting capability in Python and/or JavaScript for custom nodes, data manipulation, and integration logic
- Strong documentation practices and the ability to communicate technical decisions clearly
Nice to Have:
- Experience within a creative agency or production environment — understanding of how content moves from brief to delivery
- Exposure integrating with creative production systems. DAMs, PIMs, Adobe platforms, or project management tools
- Exposure to prompt engineering and generative AI quality control in a brand/production context
- Experience with CI/CD pipelines, Git-based workflows, and infrastructure-as-code
- Understanding of LLM integrations, RAG patterns, or vector databases
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker)
Why work here: At WPP Production, you’ll help shape the future…
Skills
- built-in
- NodeJS
- N8N
- Figma
- weave
- workspace
- Make
- Airflow
- apache-airflow
- JSON
- oauth
- Python
- javascript
- amazon-web-services
- google-cloud-platform
- microsoft-azure
- Docker
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