Full Stack Engineering Lead – AI & GenAI
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 is a creative transformation company, helping clients create growth by combining technology and creativity. As one of the world's largest marketing and advertising services organizations, we are committed to driving innovation and operational excellence across our vast global network.
You will be joining the Automation Operations Centre within WPP's Enterprise Technology, Automation & AI department. This is a pivotal time for us as we're building a dedicated, in-house team to deliver, manage, monitor, and optimize our growing portfolio of automation solutions. This team is at the forefront of our digital transformation, ensuring the seamless operation and continuous improvement of critical automation capabilities across WPP globally
You will play a crucial role in solution delivery and day-to-day technology management of the Global Automation Operations Centre (AOC) program. Reporting to the AAI Operations Director and AAI Product Lead, you will lead the architecture, standards, and advanced development requirements for our global automation portfolio. Alongside AAI Leadership, you will guide a crew of 6-10 developers to ensure the release of high-quality automation products on time and within budget.
The AOC is chartered to develop and delivery automation 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 a visionary technical leader with a deep mastery of the Microsoft Power Platform and a passion for engineering excellence? We are looking for an Automation Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global automation suite is built on a foundation of robust, scalable, and maintainable components. You will combine your extensive experience from the D365/Dataverse era with modern ALM practices to keep our global operations at the cutting edge of AI and automation.
What you'll be doing:
Automation Engineering Lead (Engineering Excellence + AI-Driven Automation)
We are looking for an experienced Automation Engineering Lead who combines a complete view across multiple engineering technology streams with a strong background in automation and AI-driven engineering practices across modern technology stacks.
This is not a single-stack or platform-specific role.
You will act as an enterprise engineering leader, responsible for designing scalable, high-performance solutions by evaluating the right engineering approach across diverse technology streams spanning APIs, backend services, modern frontends, cloud platforms, deployment architecture, and AI/ML capabilities.
You will play a critical role in shaping engineering strategy, establishing end-to-end engineering processes, guiding engineering teams, and ensuring solutions are fit-for-purpose, scalable, and future-ready.
What You’ll Be Doing
Solution Architecture & Technology Decisioning
- Own end-to-end architecture for automation use cases across the enterprise
- Evaluate and recommend the right approach across:
- Cloud-native engineering (microservices, serverless, container platforms)
- Custom engineering (APIs, backend services, UI frameworks)
- AI-augmented automation combining ML services, LLMs, and intelligent workflows
- Make informed trade-offs between build vs buy, custom vs platform, and AI-driven vs deterministic approaches based on scalability, cost, and maintainability
- Act as a key decision-maker on the right technology stream and tooling for each engineering problem
- Knowledge in Power Platform (Power Apps, Power Automate, Dataverse)
Architectural Governance
- Define and enforce global architecture standards, design patterns, and best practices
- Establish reusable engineering frameworks and AI-driven automation accelerators across teams
- Ensure consistency, scalability, and maintainability across implementations
Technical Leadership
- Lead and mentor a team of 6–10 engineers
- Provide hands-on guidance, solution reviews, and architectural oversight
- Drive engineering excellence and a culture of continuous improvement
Advanced & Hybrid Development
- Lead complex implementations involving:
- Custom connectors and API integrations
- AI/ML model integration and intelligent automation patterns
- Backend services (.NET / Java / Node.js / Python) where required
- Handle research spikes and evaluate new tools, frameworks, and capabilities
Integration & Data Architecture
- Design robust integration solutions using:
- REST APIs, webhooks, and service-based architectures
- Event-driven and asynchronous processing patterns
- Work with structured and unstructured data across:
- Cloud data platforms (Azure Data Lake, BigQuery, Snowflake, etc.)
- SQL / external data systems
- Dataverse
- Optimize performance, scalability, and reliability of automation workflows
ALM & DevOps Strategy
- Own and mature end-to-end engineering processes including ALM, code quality, and release governance across the organization
- Implement CI/CD pipelines, deployment automation, and infrastructure-as-code using Azure DevOps, GitHub Actions, Jenkins, or similar
- Drive adoption of code-first, version-controlled, and AI-assisted development practices
Stakeholder Collaboration
- Partner with business and leadership teams to translate requirements into scalable technical solutions
- Align architecture decisions with business goals, timelines, and budgets
- Communicate complex technical concepts to both technical and non-technical stakeholders
Security, Compliance & Supportability
- Ensure solutions comply with enterprise security, governance, and data protection policies
- Design solutions for operational readiness, observability, and smooth handover to support teams
What You’ll Need
Experience
- 12+ years in software engineering, solution architecture, or enterprise application development
- Proven track record leading engineering teams across multiple technology streams with a strong background in automation and AI-driven engineering
- Knowledge in Power platform or Dynamics 365 ecosystem
Engineering Process & AI-Automation Expertise
- Deep expertise in:
- End-to-end engineering processes (SDLC, code reviews, quality gates, release management) implemented at organizational scale
- Deployment and technical architecture across cloud and hybrid environments
- Automation engineering (CI/CD, infrastructure-as-code, test automation, workflow automation)
- Experience with:
- Engineering AI workstreams (LLMs, agentic systems, intelligent automation)
- Applying AI in automation (code generation, automated testing, intelligent code review, copilots)
- Ability to drive engineering excellence and modernize platforms using AI-augmented approaches
Architecture & Engineering Breadth (Critical)
- Strong experience with API design and REST-based integrations
- Solid understanding of SQL, data modeling, and performance optimization
- Hands-on experience with at least one backend technology (.NET / Java / Node.js / Python)
- Exposure to modern frontend frameworks (React or similar)
- Understanding of:
- Microservices and distributed systems
- Event-driven architecture (queues, messaging, pub/sub)
- Proven ability to design and deliver solutions across diverse engineering streams with the right deployment and architecture choices
DevOps & ALM
- Experience with CI/CD pipelines and automated deployments
- Familiarity with Azure DevOps, GitHub Actions, or similar tools
- Strong understanding of environment strategy, solution segmentation, and release management
Leadership & Problem Solving
- Proven ability to lead and mentor engineering teams
- Strong architectural thinking and decision-making skills
- Ability to solve complex, ambiguous technical challenges
- Excellent communication and stakeholder management skills
Nice to Have
- Experience with Azure services (Functions, Logic Apps, Service Bus, API Management)
- Knowledge of enterprise integration patterns and iPaaS platforms
- Hands-on experience embedding LLMs, agents, or copilots into automation and engineering workflows
Certifications
- Certifications in AI/ML, DevOps, or enterprise architecture (TOGAF, SAFe, or equivalent), PL-600: Microsoft Power Platform Solution Architect (preferred)
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?
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 Engineering Lead – AI & GenAI at WPP rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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
- Tell me about a workflow you automated with AI tools, end to end.
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: AI Automation. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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