Full Stack Developer/AI Engineer

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: