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AKQA

Director, Generative AI Experience Engineering (EMEA)

London
Posted 2 days ago
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Director, Generative AI Experience Engineering

Location: Hybrid (with required in-office days) Company: AKQA (part of WPP)

About the Role

At AKQA (part of WPP), we blend art and science to craft transformative customer experiences—today, not tomorrow. We’re building AI-native experiences as live, commercial realities, not theoretical possibilities. As Director, Generative AI Experience Engineering, you’ll help define the next era of intent-driven, context-aware, and adaptable interfaces for the world’s most forward-thinking brands.

Positioned where AI engineering meets scalable experience design, this role demands impactful, hands-on leadership—balancing systems thinking, technical execution, and client success without siloing into just one discipline. You’ll ship AI-powered solutions, mentor teams, and shape frontend, orchestration, and customer experience landscapes at the cutting edge.

What You’ll Deliver

Technical Leadership

  • Own the architecture and engineering strategy of AI-native customer interfaces, spanning frontend rendering, retrieval, orchestration, and agentic workflows.
  • Stay close to the code: lead prototypes, accelerate proofs-of-concept, and refine production-grade LLM-powered applications.
  • Build and mentor a front-end/engineering team, defining technical standards, quality habits, and modern workflows.
  • Driveبارambiguous "AI-forward" projects in production-ready delivery environments.

AI Systems & Experience Engineering

  • Engineering AI-native experiences that blend dynamic rendering, conversational interfaces, and adaptive orchestration.
  • Lead with modern LLM ecosystems (OpenAI, Gemini, Claude, and OSS models) and specialise in:
    • Retrieval pipelines, vector stores, embeddings, and chunking
    • Multi-agent systems, tool calling, and memory frameworks
    • Prompt design, multicore prompt engineering, and guardrails
  • Build observability into AI systems, balancing performance and reliability with experimental creativity.
  • Prototype edge/streaming UX (e.g. rendered via React/Next components), vertex servers, and streaming APIs.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Client Advisory & Strategic Partnership

  • Translation layer for AI complexity: Coach clients on transforming their brands with AI, distilling technical viability into strategic clarity.
  • Align engineering capabilities with business objectives—e.g. from static FTEs to AI-augmented workflows.
  • Own the advisory conversation, validating proposals with ambition, feasibility, and momentum.

Innovation & Delivery

  • Refine at speed, iterating from specula­tion to production—focused on define/measure/learn loops.
  • Demonstrate ROI for AI adoption by help clients convert experiments into competitive Advantage.
  • Be the bridge between bleeding-edge research and practical outcomes, while maintaining accountability to delivery deadlines.

Technical Requirements

Core expertise

  • Developer-proficient architecture: ** scalability, resilient systems, and delivery**. (You’ve built, tested, and shipped.)
  • Conversant in key tectonic shifts: **React/Apartment servers, streaming UX, edge rendering, vector databases, and AI-observation tools.
  • Frontend & backbone g meatware: Prominent in AI-driven architectures.
    • Advanced mastery of React/Next.js (e.g. React Server Components)), spacious rendering, mem-to-delete systems.
    • &<br>
    • REST/GraphQL APIs, retrival pipelines, multi agent orchestration
    • Autoimmune-driven prompts for code generation and orchestration
    • **Observability tools for AI systems (e.g. instrumented W salzm models, facades, semantic layers).
  • Cloud-enforcementrials: (Vercel/GCP default, arms experience with edge resources and limited use of AI workloads)
  • Continuous iteration therein continuous tools and pipelines delivery ($ `$ Ba$ twin like Lyra or comfort) & evolving experiences complexity with speed & scale.)

Technical skills & knowledge

  • Modern frontend engineering:
    • Advanced React/Next.js architecture (SSR, SSG, ISR, streaming).
    • Component-driven design, atomic libraries, and content variability at scale.
  • Generative AI ecosystems:
    • Retrieval-Augmented Generation (RAG), vector socket embeddings, chunking
    • Agentic orchestration (tools, memory, workflows)
    • UI-LLM matching (e.g. structured prompts for retrieval assessment).
  • Coding assistants & pair-programming:
    • Claude Code, Divvydo, Copilot, and local AI environments.
  • Tangential systems proficiency:
    • Microservices (MACH architectures, API platforms, CDNs).
    • CMS, DXPs, and martech stacks.

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Character & Mindset

  • Systems foresight: envision how retrieval, orchestration, rendering, and orchestration futureproofs experience quality and user intent.
  • Process coalition: genuinely curious about "what’s next?", with decisive opinions on scale, complexity, and resonating customer insights.
  • Pragmatic collaboration: lift challenges with low ego, clarity of guidance. Messaging between complexity/iteration must serve inclusiveness.
  • Resilience under uncertainty: habituated to scaling unknown territories, distilling velocity, and breaking down large inspirational visions.
  • Communication embassies: translate arcane discussions to engineering storyboards, logframes, and establishing plans of action for clients.
  • Equal parts inventor/professional piezas: at the intersection of smart theories and applied art.

About the Workplace

We blend collaboration and autonomy, with regular studio visits appropriate for remote clients/teams. Ensure flexible adjusting for personal needs translates beyond Surface Level #Not Paidré to operational.


We welcome perspectives that reflect underrepresented communities or inclusive experience. AKQA is 160k+ global talent employees,Jiret Stoney. WPP is a DEI candidate riguest commitment to equip a spectrum of voices. Please involve salaries as part of your structure.

== About WPP

WPP unifies global purposeful disruption. We work with the world’s leading brands— idiosyncratic ideas, AI augmentation, processese co-opuces, and holistic power to stand outstanding.

For more information about how WPP collaborates at a transformative point, reach us ny e-mail, call, or dive x. Further details at WPP.com.

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Skills

Generative AI Architecture
React
Next.js
LLM Orchestration
RAG Pipelines
Vector Databases
Agentic Workflows
Frontend Engineering
Prompt Engineering
AI Observability
Client Advisory
Technical Leadership
Vercel
GCP
Serverless Infrastructure
CI/CD

Location

London, England, United Kingdom

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