Full Stack Developer/AI Engineer
AI in this role
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.
We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
For more information, visit WPP.com.
Why we're hiring:
WPP Enterprise Technology provides IT services for WPP. As the creative transformation company, WPP is helping its clients transform the future through extraordinary work. WPP ET is an integral part of that journey, and we are proud to provide technology for some of the world’s most creative brands.
At WPP, technology is at the heart of everything we do, and it is WPP ET’s mission to enable everyone to collaborate, create and thrive. WPP is undergoing a significant transformation to modernise ways of working, drive automation and elevate colleague and client experiences.
You will play a crucial role in solution delivery with the Global Automation & AI program. Reporting to the Engineering Lead for technical practice and the Agile Project Manager for project delivery, you will ensure our AI and agentic automation projects deliver quantifiable returns. You will be charged with designing, developing, and refining AI-powered solutions that integrate with our Hero portfolio products or operate as standalone intelligent systems. The AOC is chartered to develop and deliver automation & AI products, support global automation products or projects delivered by Automation delivery teams from around WPP. Our support apparatus gives those teams confidence and freedom to hand over their existing successes and continue innovating.
Are you an experienced AI Engineer passionate about building cutting-edge agentic solutions and AI-powered automation? This role focuses on designing and developing intelligent systems that span Human2System, System2System, Agent-to-Agent (A2A), and agentic data pipeline architectures. You will work with the latest foundation models, specialized AI frameworks, and emerging agent orchestration technologies, directly contributing to WPP's AI driven operational excellence worldwide.
What you'll be doing:
- AI Solution Development: Design and develop AI and agentic solutions that integrate seamlessly with existing Hero portfolio products or function as standalone intelligent systems.
- Agentic Architecture: Build sophisticated automation architectures including Human2System interactions, System2System integrations, Agent-to-Agent (A2A) communications, and agentic data pipelines.
- Agent Governance: Work closely with the AAI Team Lead and Engineering Lead to refine governance solutions ensuring safe, secure, and compliant agent operations.
- Model Integration: Implement and optimize solutions using Microsoft Copilot Agent Studio, Google Vertex AI, Azure AI Foundry, LangChain/LangGraph and n8n frameworks.
- Custom Tooling: Develop and maintain custom MCP (Model Context Protocol) and Agent Tool governance solutions.
- Data & Embeddings: Design and implement RAG (Retrieval-Augmented Generation) pipelines and vector embedding frameworks for production environments.
- Evaluation Framework: Design, implement, and maintain comprehensive evaluation frameworks to ensure AI solution quality and performance.
- API & Integration: Build efficient APIs and integrations using FastAPI, leveraging deep expertise in AI framework integration patterns.
- Collaboration & Documentation: Maintain comprehensive and up-to-date documentation for AI workflows, agent logic, and system architectures, while collaborating with Agile PMs and Engineering Leads to resolve technical blockers.
What you'll need:
Skill Requirements
- Overall experience: 7-9 years of experience in automation, technology development, or software engineering (Python preferred).
- AI/ML Specialization: At least 3 years of dedicated experience specifically with AI/ML systems, agentic frameworks, or intelligent automation technologies.
- Programming Expertise: Expert proficiency in Python or TypeScript, with deep knowledge of AI frameworks including Langchain/Langgraph and FastAPI.
- Production AI Experience: Proven production experience with RAG/Vector embedding frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures.
- Evaluation & Testing: Demonstrated experience designing and maintaining evaluation frameworks for AI system performance and quality assurance.
- Foundation Models: Hands-on experience working with the latest foundation and specialist models across multiple providers.
- Agent Platforms: Experience with Microsoft Copilot Agent Studio is a strong plus.
- Methodology: Proven experience as an Agile practitioner, specifically within Kanban or Scrum environments.
- Problem-solving: Proven experience dealing with technical blockers, model performance issues, and complex integration challenges.
- Effective Communicator: Excellent writing and verbal communication skills (English) for documenting technical architectures and communicating with stakeholders.
- Attention to Detail: High level of accuracy in maintaining AI system configurations and governance documentation.
- Mandatory Certifications
- AI-102: Microsoft Azure AI Engineer Associate OR
- Google Professional Machine Learning Engineer
- Desirable Certifications:
- AI-102 or Google Professional Machine Learning Engineer: (Whichever certification is not held as a mandatory requirement)
- GH-300: GitHub Copilot (Required within 3 months of joining)
- PL-900: Microsoft Power Platform Fundamentals (Required within 3 months of joining)
Who you are:
You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
#LI-Hybrid
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.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular 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.
Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.
How we rate this
Full Stack Developer/AI Engineer at WPP rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a workflow you automated with AI tools, end to end.
- What are the limits of Copilot that you've run into, and how did you work around them?
- What's a project where you used LangChain hands-on?
- Walk me through how you've used LangGraph in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI Automation, Copilot, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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