About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Role Overview
Lead AI Engineer IS to drive the next generation of AI capabilities across WPP proprietary creator, influencer, and social commerce platforms.
This role combines hands-on AI engineering, product innovation, and technical leadership. The successful candidate will lead the development and deployment of practical AI solutions across influencer intelligence, creator workflows, social commerce, automation, and large-scale content and data analysis.
The ideal candidate combines strong engineering capability with product thinking and the ability to rapidly translate ideas into scalable AI features. This role is highly execution-focused and suited for someone who enjoys building production-ready AI systems, experimenting with emerging technologies, and solving real business problems through AI.
You will work closely with product, engineering, strategy, and regional market teams to shape and deploy AI-powered features used across APAC and global client initiatives.
Core Responsibilities
AI Product Development & Integration
- Design, develop, and deploy AI-powered features across WPP proprietary platforms.
- Build practical AI solutions leveraging LLMs, multimodal AI, embeddings, vector search, intelligent workflow orchestration, and AI agents.
- Integrate AI capabilities into influencer planning, creator discovery, content analysis, workflow automation, reporting, and operational tools.
- Collaborate with product and engineering teams to translate business requirements into scalable AI solutions.
- Rapidly prototype, test, and iterate AI features for production deployment.
Generative AI & LLM Engineering
- Build and optimize applications using modern AI ecosystems such as OpenAI, Gemini, Claude, Vertex AI, and related frameworks.
- Develop prompt engineering, retrieval-augmented generation (RAG), semantic search, embeddings pipelines, and AI orchestration workflows.
- Improve AI output quality, evaluation frameworks, guardrails, and model performance for production use cases.
- Explore and implement conversational AI, recommendation systems, and intelligent automation solutions.
- Evaluate emerging AI tools, frameworks, and models to identify practical business applications.
AI Infrastructure & Deployment
- Develop scalable AI services and APIs for internal platforms and client-facing products.
- Support deployment, monitoring, optimization, and maintenance of AI systems in production environments.
- Work closely with engineering teams on architecture, cloud deployment, scalability, and security.
- Contribute to MLOps / AIOps workflows, CI/CD pipelines, and model deployment best practices.
- Support integration of AI services into existing product ecosystems and workflows.
Data & Platform Integration
- Work with structured and unstructured datasets including social, creator, video, image, commerce, and campaign data.
- Integrate external APIs, data providers, and AI services into internal platforms.
- Support development of scalable data pipelines and AI-ready infrastructure.
- Collaborate with product and analytics teams to improve data quality, accessibility, and AI usability.
- Contribute to the design and validation of AI-ready data lake architecture to ensure it supports scalable AI pipelines, analytics, and downstream product use cases.
Innovation & R&D
- Continuously evaluate emerging AI technologies, tools, and frameworks.
- Prototype and validate new AI concepts rapidly.
- Help shape AI roadmap and identify high-impact opportunities across products and operations.
- Stay current on developments in generative AI, multimodal AI, automation, and applied machine learning.
- Contribute ideas that improve product differentiation and operational efficiency.
Team Leadership & Collaboration
- Mentor and support junior AI engineers and technical team members.
- Help establish engineering best practices, documentation standards, and scalable development workflows.
- Collaborate cross-functionally with product managers, developers, strategists, and regional stakeholders.
- Communicate technical concepts clearly to both technical and non-technical audiences.
- Contribute to a culture of experimentation, innovation, and continuous learning.
Desired Skills & Experience
Technical Skills
- Strong proficiency in Python and modern AI development frameworks.
- Hands-on experience with LLMs, generative AI systems, embeddings, vector databases, and RAG architectures.
- Experience with OpenAI, Gemini, Claude, Vertex AI, LangChain, or similar AI ecosystems.
- Experience working with APIs, vector databases, embeddings pipelines, and modern AI orchestration frameworks.
- Familiarity with multimodal AI including image, video, and text analysis.
- Experience building APIs, backend services, and production-ready AI applications.
- Experience with Docker, CI/CD workflows, and scalable deployment practices.
- Familiarity with SQL, NoSQL, and large-scale data processing workflows.
- Experience contributing to data lake and big data architecture design, with the ability to help define and validate AI-ready data infrastructure that supports scalable AI pipelines, embeddings, semantic search, analytics, and downstream reporting.
- Experience using AI-assisted development tools to improve coding, debugging, testing, documentation, and engineering productivity.
- Understanding of cloud platforms such as GCP or AWS.
Experience
- 5+ years in software engineering, machine learning, or applied AI roles, with recent hands-on experience in generative AI and LLM-based applications.
- Proven experience building and deploying AI-powered products or features in production environments.
- Experience leading projects or mentoring junior technical resources.
- Strong product mindset with the ability to balance experimentation and execution.
- Comfortable operating in fast-paced product or startup-like environments.
Preferred Experience
- Experience with social media, creator economy, influencer marketing, recommendation systems, or commerce platforms.
- Experience with semantic search, content intelligence, or automation workflows.
- Exposure to AI agents and workflow orchestration systems.
- Experience integrating AI into enterprise or SaaS platforms.
- Familiarity with analytics, creator intelligence, or content recommendation products is a plus.
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.
While we appreciate all applications received, only those candidates selected for an interview will be contacted.
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Please read our Privacy Notice for more information on how we process the information you provide.
Skills Required
- Experience defining and tracking success metrics for AI features and experiments.
- Experience designing, running, and analyzing A/B tests or comparable experiments to measure AI impact.
- Ability to translate product ideas into testable hypotheses and build AI prototypes to validate concepts.
- Experience exploring and analyzing data to guide product decisions.
- Experience creating dashboards and reports to communicate insights to stakeholders.
- Knowledge of model interpretability, fairness, and explainability techniques.
- Scientific mindset for continuous testing, iteration, and improving AI features.
- Experience collaborating with product owners and data science/engineering teams.
- Experience with deployment, automation, CI/CD best practices, and scalable cloud solutions.
WPP Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WPP and has not been reviewed or approved by WPP.
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Wellbeing & Lifestyle Benefits — Wellbeing support includes a global Employee Assistance Programme and company-wide initiatives, with modern multi‑agency campuses and on‑site amenities positioned as part of the experience. This indicates a holistic focus across mental, physical, emotional, and financial wellbeing.
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Retirement Support — Retirement offerings commonly include a US 401(k) with employer matching, though specifics can differ by operating company. This provides a recognizable savings framework that many candidates expect in large employers.
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Parental & Family Support — Family benefits can be above average in parts of the network, such as VML’s paid parental leave for adoptive and foster parents. These signals suggest meaningful support for certain family‑forming needs.
WPP Insights
What We Do
WPP is a creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities.
