At a Glance
- Tasks: Lead AI engineering to create impactful solutions for media teams and clients.
- Company: Join dentsu, a global leader in innovative media solutions.
- Benefits: Competitive salary, diverse culture, and opportunities for career growth.
- Other info: Dynamic work environment with a focus on inclusion and sustainability.
- Why this job: Shape the future of media with cutting-edge AI technology.
- Qualifications: Experience in AI engineering and strong leadership skills required.
The predicted salary is between 75600 - 92400 £ per year.
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.
- 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.
- 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.
- Brand: Amplifi
- Time Type: Full time
- #LI-Hybrid #LI-Dentsu
- About dentsu
For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences.
Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact.
Be a force for good.
Sustainability is a vital part of our business and an important area of focus for our clients.
We’re leading the way – helping to build a more sustainable planet.
Dream loud.
In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for our work and excitement for the future.
Team without limits.
We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way.
- Find out more about us
- Find out more about us
- #J-18808-Ljbffr
AI Engineering Lead employer: Dentsu Aegis Network Ltd.
Dentsu is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible working arrangements in vibrant locations like London and Manchester. As part of one of the world's largest digital-first media agencies, employees benefit from tailored professional development opportunities and the chance to collaborate with top-tier clients across various industries. Join us to lead innovative CRO and UX projects while being supported by a diverse team committed to continuous learning and growth.
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We think this is how you could land AI Engineering Lead
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We think you need these skills to ace AI Engineering Lead
Some tips for your application 🫡
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How to prepare for a job interview at Dentsu Aegis Network Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dentsu Aegis Network Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
