dentsu
AI Engineering Lead

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ROLE PURPOSE
Lead the AI Engineering capability for dentsu Media UK&I, identifying, shaping and building practical AI solutions that improve how Media teams work, deliver for clients and create measurable business value.
Working closely with Media leadership, Programme Leadership, Change Experience, Product, Data & Technology, Marketing Science and operational teams, this role will translate business problems into scalable AI-enabled solutions — moving ideas from opportunity identification through prototyping, engineering, testing, adoption and continuous improvement.
The role is accountable for building a small, high-impact AI engineering capability that can work with business teams to identify use cases, assess feasibility, design solutions, guide build activity, and ensure AI tools are embedded safely, effectively and sustainably into Media workflows. The ambition is to move from fragmented experimentation to a repeatable AI delivery model that creates value across planning, activation, operations, reporting, optimisation, workflow automation and client-facing services.
Key Responsibilities
Identify and Shape High-Value AI Opportunities
- Partner with Media leadership and operational teams to identify where AI can improve effectiveness, efficiency, quality, speed or client impact across existing tools and new dev opportunities.
- Translate business pain points into clear solution hypotheses, AI use cases and requirements.
- Assess potential opportunities based on value, feasibility, risk, data availability, reusability and scalability.
- Establish BAU process across Media teams to identify, test and scale AI-enabled ways of working.
- Support business teams to articulate requirements clearly and understand the practical implications of AI-enabled change.
Lead the AI Engineering Function
- Build, coach and develop a high-performing group of AI engineers, solution builders, analysts and technical contributors.
- Oversee the design, prototyping and development of AI solutions for Media workflows, including automation, agentic workflows, knowledge retrieval, planning support, reporting, insight generation and operational tooling.
- Establish common engineering standards, design principles, solution patterns and delivery practices for AI solutions across Media.
- Work with product, data engineering, platform, security and enterprise architecture teams to ensure solutions are integrated into the right systems and operating environments.
- Create a culture where AI engineering is focused on real business problems, measurable value and responsible adoption — not experimentation for its own sake.
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
Why you're a good match
StrongYour 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.
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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Drive Responsible, Governed and Safe AI Delivery
- Ensure AI solutions are developed in line with dentsu policies, governance standards, data protection requirements and responsible AI principles.
- Identify risks relating to data, privacy, accuracy, bias, security, model performance, user adoption and operational dependency.
- Build appropriate testing, validation, monitoring, cost controls and human-in-the-loop controls into AI solutions.
- Establish feedback loops with users to improve solutions over time.
Skills And Key Requirements
Technical and AI Engineering Skills
- Strong understanding of generative AI, machine learning concepts, automation, large language models, prompt engineering, retrieval-augmented generation and AI-enabled workflow design.
- Experience designing, building AI or automation solutions in a business environment leading technical or cross-functional teams.
- Ability to assess technical feasibility, data readiness, integration needs and model/tool suitability.
- Understanding of APIs, MCP, data pipelines, cloud platforms, software delivery practices and enterprise technology environments.
- Ability to guide prototyping and engineering activity from concept through to production-ready solutions.
- Strong appreciation of security, privacy, testing, quality assurance and responsible AI controls.
Media And Business Solutioning Skills
- Strong understanding of Media workflows, ideally including planning, activation, optimisation, trafficking, reporting, finance operations, client delivery or commercial processes.
- Ability to identify where AI can create practical value in Media — including productivity, quality, speed, scalability, insight, workflow automation and client outcomes.
- Ability to balance ambition with operational practicality, adoption readiness and measurable business benefit.
- Strong coaching capability, helping non-technical teams and snr management understand what AI can and cannot do.
- Comfortable creating structure in ambiguity and shaping new ways of working.


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What We’re Looking For
A practical AI leader who can turn ambition into buildable, usable and scalable solutions. Someone curious about how AI will reshape Media, and pragmatic about what it takes to make that change real.
SUCCESS LOOKS LIKE
- Media UK&I has a clear, prioritised and value-led pipeline of AI opportunities.
- AI solutions are being identified, designed, built and scaled through a repeatable engineering model at pace.
- Responsible AI controls are embedded into solution design and delivery.
- Media teams are actively using AI-enabled tools and workflows that improve productivity, quality, speed or client outcomes.
Working with us
Joining dentsu international, you’ll join a team of 48,000 people. It’s an opportunity to produce career-defining work. Along the way, you’ll team up with inspiring colleagues and encounter a richness of clients, cultures and experiences. We offer exciting challenges, memorable experiences and opportunities to shape your future.
Inclusion and Diversity
We’re proud to be different and that starts with our people. We believe in equal opportunities for everyone. We won’t define people by their race, gender, sexual-orientation, age or disability. Individuality is what makes us great, we want everyone to bring their full self to work and create something amazing. That’s what we care about.
So, whether you’re joining us, or looking to move to a different part of the business, we work hard to make sure we create equal opportunities for everyone.
Location:
London
Brand:
Amplifi
Time Type:
Full time
Contract Type:
Fixed Term Contract (Fixed Term)
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