At a Glance
- Tasks: Lead a team to develop AI-powered marketing solutions that drive real-world impact.
- Company: Join a global leader in marketing technology with a focus on innovation.
- Benefits: Enjoy flexible working, wellness support, and fantastic local discounts.
- Why this job: Make a significant impact in AI while mentoring and growing your team.
- Qualifications: Experience in full-stack development and AI/LLM applications is essential.
- Other info: Hybrid work model with opportunities for personal and professional growth.
The predicted salary is between 48000 - 84000 £ per year.
Overview
About the Role
We are seeking a passionate and experienced Technical Engineering Lead to join our extended team. This individual will play a crucial role in designing and implementing AI/LLM-powered agentic workflow solutions, working closely with our Product Lead, Stakeholders, and Specialists.
Our application suite helps Publicis Groupe Performance experts drive holistic search, social, programmatic, and commerce marketing strategies for our global clients. Global teams use our applications to improve their performance results and save money on search, social, programmatic, and commerce marketing. This is an exciting opportunity to contribute to a suite of products with a significant roadmap of features to be developed.
Your Impact
This role blends deep technical expertise with leadership and a passion for AI/LLM-powered solutions. You will be designing the engines powering our platform\’s success while fostering the growth and expertise of your team. Your deep understanding of scalable, efficient, full-stack cloud systems and expertise in modular, distributed, asynchronous architecture will directly translate into enhanced performance, reliability, and scalability for our applications. This leads to real-world impact, ultimately contributing to the success of our clients\’ marketing campaigns. You will also play a key role in mentoring and guiding your team members, helping them develop their skills and reach their full potential. This is an opportunity to make a significant impact on the technical direction of our platform, nurture engineering talent, and contribute to the growth of our business.
Responsibilities
- Guide a team of engineers in developing applications that empower our clients to optimize marketing campaigns through data-driven insights and automated actions, with a specific focus on leveraging LLMs and AI
- Own the technical roadmap for your team, aligning it with the overall product strategy and business objectives, ensuring alignment with the company\’s vision for agentic AI/LLM-powered workflows
- Design, develop, and implement robust and scalable agentic workflows utilizing LLMs and AI for various marketing applications, including:
- Automated content generation, optimization, and personalization
- Predictive analytics for campaign performance and optimization
- Customer journey orchestration and personalized messaging
- Real-time data analysis and actionable insights generation
- Drive the technical direction of the team, ensuring solutions are built with a focus on modularity, scalability, and maintainability, specifically in the context of AI/LLM-powered systems
- Provide technical guidance and mentorship to team members, fostering a culture of collaboration and continuous learning
- Conduct code reviews, enforce coding standards, and ensure the delivery of high-quality, maintainable code that adheres to best practices for AI/LLM and distributed system development
- Proactively identify and address technical debt and performance bottlenecks, particularly within the context of distributed, asynchronous systems handling large datasets
- Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, ensuring that AI/LLM capabilities are effectively integrated into the product vision.
- Lead team grooming sessions, asking questions to clarify meaning and intent, and propose deliverable slices of functionality to provide benefit to users in the shortest amount of time
- Research and stay abreast of the latest advancements and best practices in LLMs, AI, and related technologies, evaluating their applicability to our business challenges and identifying opportunities to integrate them into our platform
Qualifications
- Relevant experience in full-stack application development
- Demonstrable experience working with LLMs and/or AI, demonstrated through previous projects showcasing proficiency in building AI/LLM-powered applications
- Extensive experience working in teams using Agile processes, including emphasis on the importance of testing and iterating on features in development, and experience in breaking Epics into deliverable slices of functionality
- Experience in cloud-based application development, designing and implementing modular, distributed, and asynchronous systems
- Solid experience leading full-stack application development teams
- Expert-level proficiency in Python and hands-on experience with at least one LLM based framework (LangChain, LangGraph, LangSmith, LlamaIndex, Qdrant, etc..)
- Strong experience with asynchronous queues (e.g., Kafka, RabbitMQ) and asynchronous APIs
- Deep understanding of cloud infrastructure (AWS, GCP) and experience deploying and managing applications at scale
- Strong understanding of data lake architectures, including experience with data ingestion, storage, processing, and retrieval of large volumes of structured and unstructured data
- Familiarity with containerization technologies like Docker and Kubernetes
- Strong advocate for clean code principles, testing methodologies (unit, integration, TDD, etc.), and CI/CD pipelines
- Solid understanding of data structures, algorithms, and software design principles
- Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to both technical and nontechnical audiences
- Bonus Points
- Bachelor\’s degree in computer science, Engineering, or a related field
- Understanding of performance marketing concepts and strategies
- Understand the data flows and dependencies within performance marketing campaigns
- Contributions to open source projects
Additional information
Publicis Media has fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Planswe also offer;
- WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.
- REFLECTION DAYS – Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.
- HELP@HAND BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.
- FAMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones: Maternity. Adoption, Surrogacy and Shared Parental Leave.
- FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday, from your first day of employment.
- GREAT LOCAL DISCOUNTS This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre.
Full details of our benefits will be shared when you join us!
Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week.
We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.
Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG\\\’s (Employee Action Groups).
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Lead AI Engineer employer: Publicis Groupe UK
Contact Detail:
Publicis Groupe UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Knowing how your skills can directly impact their AI/LLM solutions will make you stand out as a candidate.
✨Tip Number 3
Showcase your projects! Bring examples of your work, especially those involving AI and LLMs. Demonstrating your hands-on experience can really impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead AI Engineer role. Highlight your experience with LLMs and AI, and how it aligns with our mission at StudySmarter. We want to see how you can contribute to our exciting projects!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Include specific examples of your work with full-stack development, cloud systems, and any relevant frameworks. We love seeing real-world applications of your skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experiences and achievements. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Publicis Groupe UK
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and LLMs before the interview. Be ready to discuss specific projects you've worked on that showcase your expertise in building AI-powered applications. This will show them you're not just familiar with the concepts, but you can also apply them effectively.
✨Showcase Your Leadership Skills
Since this role involves guiding a team, be prepared to share examples of how you've led teams in the past. Talk about how you foster collaboration and continuous learning within your team. They want to see that you can mentor others while driving technical direction.
✨Align with Their Vision
Understand the company's vision for agentic AI/LLM-powered workflows. During the interview, demonstrate how your technical roadmap aligns with their business objectives. This shows that you’re not just thinking about the tech, but also how it impacts their clients' marketing strategies.
✨Ask Smart Questions
Prepare thoughtful questions that show your interest in the role and the company. Ask about their current challenges with AI/LLM integration or how they envision the future of their applications. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.