AI Enterprise SeniorTechnical Lead

VML/WPP Enterprise Solutions; Faro, Lisboa, Porto; On-site; EUR 73,000 - 95,000; Full time

Job summary

VML Enterprise Solutions is seeking an AI Enterprise Technical Lead to join a high-profile enterprise AI project for a major global brand. The role combines ownership of AI delivery, client-facing discovery, and architectural influence with hands-on engineering.

You will shape and deliver a secure, enterprise-grade AI platform built around Microsoft Azure, LLMs, agentic workflows, enterprise knowledge and integrations, balancing LLM capabilities with deterministic logic.

Qualifications

• 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.

Responsibilities

• 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.

Skills

AI/GenAI solutions

Enterprise architecture

Azure AI services

Client-facing communication

Hands-on engineering

Security and governance

Technical leadership

Discovery & solution design

Hands-on when needed

English fluency

Tools

Azure AI

APIs

Job description

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 are.

Our culture thrives on our core values, designed for impact‑driven individuals: Heart, Brains and Courage.

Please note that this job is a full‑time position located in Poland, but the selection process will be conducted in English.

We lead withHeart, fostering empathy and trust where genuine connections and human‑centric work flourish.
We empower yourBrainsfor innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we championCourage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

In compliance with Polish regulations, VML Enterprise Solutions is committed to fostering a transparent and ethical work environment. We encourage reporting of any potential irregularities or misconduct. For detailed information on our whistle‑blower policy and reporting procedures, please refer to our dedicated document .

At WPP Enterprise Solutions

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 modernisation, 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. We have received distinction as a leader in Commerce Services and CX Strategy Consulting by the Forrester Wave™

WPP Enterprise Solutions is part of WPP , the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting‑edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.

#LI-EMEA

About WPP

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence and world‑class partnerships – all united by our agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com .

WPP (VML/WPP Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to 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.