Full Stack Engineering Lead – AI & GenAI

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 wi