AI Enterprise SeniorTechnical Lead

vmlenterprisesolutions; Faro; On-site; EUR 120,000 - 180,000; Full time

Job summary

WPP Enterprise Solutions seeks an AI Enterprise Technical Lead to join a high-profile enterprise AI project for a major global brand. This role blends ownership of enterprise AI delivery with client-facing discovery and hands-on engineering.

You will shape a secure, enterprise-grade AI platform built around Microsoft Azure, LLMs, agentic workflows and enterprise knowledge with strong architectural influence across the stack.

Qualifications

• 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 APIs.
• Practical knowledge of Microsoft Azure and Azure AI services.
• Strong software architecture, API design and enterprise integration patterns.
• Experience combining LLM capabilities with deterministic logic.
• Context engineering, retrieval, outputs and AI evaluation.

Responsibilities

• Lead technical discovery and translate business workflows into scalable AI solutions.
• Shape architecture across AI agents, orchestration, RAG, Azure services and integrations.
• Define boundaries between AI/LLM and deterministic logic.
• Design agent workflows, context management and human-in-the-loop controls.
• Shape RAG and enterprise knowledge solutions, including retrieval from trusted sources.
• Design integrations between AI workflows, APIs and enterprise platforms.
• Ensure security, identity, governance, observability and auditability.
• Turn discovery outcomes into architecture and backlogs.
• Lead engineers with hands-on guidance and code reviews.
• Establish AI evaluation and continuous improvement processes.

Skills

AI strategy

LLMs

Agentic architecture

RAG orchestration

Azure

APIs integration

Security & governance

Technical leadership

Client facing

Hands-on engineering

English fluency

Education

Bachelor's degree in CS/Engineering

Tools

Azure AI services

Job description

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.

• We lead with Heart , fostering empathy and trust where genuine connections and human‑centric work flourish.
• We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
• And we champion Courage , inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be bett