WPP Media is an AI‑driven media operating unit that brings together media, data, and partnerships to deliver creative personalization at scale. Powered by WPP Open and Open Intelligence, clients see exactly where, how, and why their media investment is working.
Role Summary & Impact
The Media Futures Group AI Squad is a small, agile, autonomous innovation team dedicated to charting the course for AI transformation across APAC for one of WPP’s most important and strategic global technology clients.
By seamlessly integrating AI across media, creative, and production, the cross‑functional squad delivers cutting‑edge innovation and pioneering work to achieve more effective and efficient business outcomes.
The squad’s mission is to solve specific business challenges by delivering demonstrable proof of AI‑enabled marketing improvements and providing strategic guideposts for the broader organization.
Utilizing best‑in‑class tools such as WPP Open and Gemini, you will innovate and deliver award‑winning creative ideas while building, testing, and scaling solutions that enhance effectiveness, efficiency, and execution for our clients.
The AI Solutions Engineer serves as the master builder executing the construction. This highly technical role delivers hands‑on development support required to move theoretical architectural visions from prototypes to highly secure, Google‑approved, enterprise‑grade production infrastructures.
Responsibilities
- API & UI Development: Construct complex backend API connections and develop secure user interfaces required to bridge the proprietary WPP Open platform with localized campaign tools and protected client data lakes.
- Live Deployment & Debugging: Execute rapid debugging, performance analysis, and troubleshooting of machine learning models and underlying cloud infrastructure in real time to prevent performance degradation or service outages during live campaign sprints.
- Security & Compliance: Document the deployed technical architecture upon the conclusion of active campaigns. Solidify security protocols and data pipelines to ensure absolute compliance with enterprise risk standards and global data privacy regulations.
- Codebase Handover: Facilitate seamless handover of the finalized codebase to operations‑driven technology teams, ensuring pristine code quality, proper containerization, and long‑term deployment readiness.
Skills & Experience
- Minimum of 5 years of applied experience in software engineering, technical support, or complex solutions engineering.
- At least 2 years focused exclusively on deploying machine learning (ML) or natural language processing (NLP) applications in live commercial environments.
- Exceptional coding and scripting capabilities, primarily using Python, Java, C++, or Go.
- Deep academic understanding of data structures, complex algorithms, and object‑oriented software design principles.
- Hands‑on experience troubleshooting, debugging, and reproducing obscure issues within advanced ML frameworks such as TensorFlow, Keras, and PyTorch.
- Extensive operational experience with public cloud services, specifically Google Cloud Platform (GCP) components such as Kubernetes, Compute Engine, and Apache Beam.
- Thorough understanding of computer networking, private cloud peering, distributed system management, and Git version control.
- Vertex MLOps & Cloud Infrastructure Deployment: Establish robust, automated ML pipelines using Vertex AI Pipelines and GCP components like Kubernetes and Compute Engine. Ensure generative AI tools are properly containerized to scale securely and withstand massive global traffic during live campaigns.
- Vertex AI Mastery: Deep, hands‑on proficiency with Google Cloud’s Vertex AI platform as the exclusive, mandated environment for model deployment. Navigate the Vertex Model Garden, configure foundational models (e.g., Gemini), and execute parameter‑efficient fine‑tuning for specific campaign needs.
- Secure RAG & Grounding Pipeline Engineering: Build complex Retrieval‑Augmented Generation (RAG) architectures within Vertex AI, securely connecting generative models to proprietary enterprise data lakes and Customer Data Platforms without exposing PII or violating data governance.
- Rapid Problem‑Solving: Diagnose and repair code‑level pipeline failures or UI breakdowns under the extreme pressure of a live campaign sprint.
- Extreme Psychological Resilience: Thrive in highly volatile, fast‑paced deployment environments where prototype code must be hardened instantly.
Benefits & Culture
WPP Media invests in employee growth and encourages transformational creativity. We foster an inclusive culture that celebrates belonging and provides opportunities to progress through employee resource groups and frequent in‑office events. Our benefits package includes competitive medical, vision, and dental insurance, significant paid time off, partner discounts, and employee mental health awareness days.
WPP Media is an equal‑opportunity employer and invites applicants of all backgrounds. We employ a hybrid approach with teams in the office around four days a week. Accommodations and flexibility are available upon discussion. Please read our Privacy Notice for more information on how we process the information you provide.