Senior Manager, Lead GenAI Engineer, Engineering, AI & Data, Technology & Transformation

Overview

In this role you will shape transformative Generative AI strategies for clients, leading end-to-end design and deployment of cutting-edge AI pipelines. You will engage with senior stakeholders to align AI initiatives with business goals and mentor cross-functional teams to deliver robust, scalable solutions. You’ll stay current with AI research, integrating new technologies into client solutions and internal frameworks. The role offers exposure to international clients and a mission-driven culture focused on measurable impact and responsible deployment.

Pay / Benefits

• hybrid working in London
• career development
• wellbeing support
• flexible work arrangements
• internal mobility and learning
• collaborative culture

Responsibilities

• Engage with senior client stakeholders and internal leadership to define and deliver transformative AI/Generative AI strategies aligned with business goals.
• Lead the end-to-end design, development, and deployment of advanced AI pipelines (data acquisition, preprocessing, feature engineering, model development, evaluation, secure deployment at scale).
• Oversee development and operationalisation of state-of-the-art models (LLMs, diffusion models, and generative techniques) with focus on scalability, efficiency, and robustness.
• Stay at the forefront of AI/GAs research, evaluating emerging tech and integrating relevant advancements into client solutions and internal frameworks.
• Mentor and guide cross-functional AI teams, promoting knowledge sharing, reusable assets, and best practices for delivery excellence.

Key requirements

• PhD or equivalent in Computer Science, ML, AI, or related discipline (or strong equivalent).
• Extensive experience designing, developing, deploying enterprise-grade AI/ML solutions with team and stakeholder management.
• Deep domain expertise applying AI/Generative AI in regulated or data-rich industries (e.g., financial services, healthcare).
• Track record of thought leadership in AI/ML (patents, publications, or open-source contributions).
• Industry certifications (AWS/Google/Azure/IBM ML) and familiarity with relevant courses or tutorials are highly desirable.
• Expert Python proficiency and experience with PyTorch, TensorFlow, and generative libraries (LangChain, LangGraph).
• Strong understanding of LLMs, prompt engineering, RAG pipelines, vector databases, and secure, scalable deployments.
• Experience with MLOps/LLMOps, CI/CD for ML, model monitoring, governance; cloud platforms (AWS/Azure/GCP) and security practices.
• Excellent stakeholder management and ability to translate complex AI concepts for varied audiences.
• stakeholder management
• clear communication
• team leadership
• Python
• PyTorch
• TensorFlow

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