Hybrid Principal Engineering Lead – AI Enabled Solutions

at Kantar

• Job title: Principal Engineering Lead – AI Enabled Solutions
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, AWS, Azure, Cloud, Cyber Security, Distributed Systems, Docker, JavaScript, Kubernetes, Microservices, MongoDB, MS SQL Server, MySQL, NoSQL, Postgres, Python, SQL, TypeScript, Go, .NET
• Location requirements: Hybrid, London, United Kingdom

About the role

• Principal Engineering Lead driving Kantar’s AI technology transformation through scalable solutions. Collaborating with teams for AI projects while mentoring engineers to foster innovation.

Responsibilities

• Architecting and delivering scalable AI solutions
• Leading the technical direction of AI projects
• Mentoring engineers and fostering innovation within the team
• Collaborating with Data Science, Product Management, and wider technology groups to translate complex AI concepts into actionable business strategies

Requirements

• Proven experience in AI engineering, including building, deploying, and maintaining machine learning and generative AI solutions (e.g., LLMs, embeddings, RAG, vector search, model fine-tuning).
• Strong knowledge of MLOps practices for continuous integration, deployment, and monitoring of ML/AI models.
• Experience with AI-specific infrastructure, such as model orchestration pipelines, GPU-based compute, and AI model hosting services.
• Understanding of vector databases, semantic search, and scalable data structures for AI applications.
• Familiarity with AI governance, responsible AI principles, and model evaluation techniques.
• Deep expertise in Microsoft .NET Core, C#, and modern back-end technologies, with the ability to code across multiple languages such as Python, Go, or TypeScript.
• Strong understanding of microservices architecture, distributed systems, and cloud-native design patterns.
• Experience with SQL databases (e.g., Microsoft SQL Server, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, CosmosDB).
• Proficiency in synchronous and asynchronous APIs, messaging frameworks, and event-driven systems.
• Secure coding practices with a strong grasp of cybersecurity threats, especially in the context of AI and data privacy.
• Experience deploying large-scale AI and software solutions on Azure, AWS, or Google Cloud.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cloud-native data pipelines and serverless computing environments.
• 2–4 years in a principal engineer, technical lead, or software architect role, demonstrating strong technical leadership in both AI and software engineering.
• Experience mentoring teams and fostering a culture of continuous learning and technical excellence.
• Ability to translate complex AI concepts into actionable strategies for technical and business stakeholders.
• Strong communication skills with proven success collaborating across diverse teams, including Data Science and Product Management.
• Experience with UI development technologies such as Angular, TypeScript, JavaScript, HTML5, and modern frameworks to build AI-driven user interfaces.

Benefits

• Flexible working hours
• Professional development opportunities