AI Enterprise SeniorTechnical Lead

Faro, Portugal; Lisbon, Portugal; Porto, Portugal

Who We Are WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in‐class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience.

The opportunity We are looking for an

AI Enterprise Technical Lead

to join a high-profile enterprise AI project for a major global brand.

This is a high-impact technical leadership role combining

ownership of enterprise AI delivery, client-facing discovery and technical workshops with strong architectural influence and a balance between technical leadership and hands‐on engineering.

You will help shape and deliver a secure, enterprise‐grade AI platform built around

Microsoft Azure, LLMs, agentic workflows, enterprise knowledge and integrations

.

A key part of the role is understanding

AI as part of a larger enterprise architecture

. You will make pragmatic decisions about where LLMs and agents add value, where deterministic software is the better choice, how enterprise knowledge should be retrieved and how AI capabilities should integrate with existing platforms.

What you'll get to do

Lead

technical discovery and solution design

, translating business workflows into scalable AI solutions.

Shape architecture across

AI agents, orchestration, RAG/retrieval, Azure services and enterprise integrations

.

Define clear boundaries between

AI/LLM capabilities and deterministic application logic

.

Design agent workflows, context management, tool usage and appropriate human-in-the-loop controls.

Shape

RAG and enterprise knowledge solutions

, including retrieval and use of trusted sources.

Design integrations between AI workflows, APIs and existing enterprise platforms.

Ensure appropriate approaches to

security, identity and access, governance, observability and auditability

.

Turn discovery outcomes into architecture, technical scope and an actionable implementation backlog.

Lead engineers throughout delivery, providing hands‐on guidance, code reviews and support with complex technical decisions.

Establish effective approaches to

AI evaluation, testing and continuous improvement

.

What you should have

Strong commercial experience designing and delivering

AI/GenAI solutions in enterprise environments

.

Strong understanding of

LLMs, agentic architectures, RAG and workflow orchestration

.

Hands‐on experience building AI solutions and integrating them with application services and APIs.

Good practical knowledge of

Microsoft Azure and Azure AI services

.

Strong understanding of

software architecture, API design and enterprise integration patterns

.

Experience combining

LLM‐based capabilities with deterministic application logic

.

Practical understanding of context engineering, retrieval, structured model outputs and AI evaluation.

Understanding of

security, identity and access, governance and human oversight

in enterprise AI solutions.

Proven experience leading

technical discovery and solution design

.

Experience providing technical leadership while remaining

hands‐on when needed

.

Strong client‐facing communication skills and the ability to explain complex technical decisions and trade‐offs.

Fluency in English.

Bonus points if you have

Experience designing

multi‐agent or agentic workflow architectures

.

Experience building enterprise

RAG and knowledge retrieval solutions

.

Experience with

LLMOps/MLOps and systematic AI evaluation

.

Experience implementing AI guardrails or model routing.

Experience with infrastructure as code and automated Azure provisioning.

Relevant

Microsoft Azure or AI certifications

.

What we can offer you Alongside the opportunity to work with some of the most exciting brands around the world, we'll also prioritise your career development and help you grow your skills. We'll empower you to make a difference, allow you to be yourself, and respect who you