Manager, Lead AI Engineer, AI Institute, Engineering, AI & Data, Technology & Transformation

Overview

In this Lead GenAI System Architect role, you will shape and deliver Generative AI and ML-driven programs for major clients. You’ll design scalable AI pipelines, oversee advanced models, and mentor cross-functional teams within Deloitte’s AI Institute. The position sits at the intersection of business impact and cutting-edge tech, offering exposure to diverse, international clients and high-growth AI initiatives. You will contribute to responsible, secure deployment while staying ahead of AI research and industry developments.

Pay / Benefits

• hybrid working in London
• development and learning opportunities
• supportive wellbeing culture
• purpose-driven culture
• collaborative environment
• flexible working arrangements

Responsibilities

• Engage with senior client stakeholders and leadership to shape AI strategies aligned with business goals
• Lead design, development, and deployment of advanced AI pipelines including data prep, feature engineering, model development, evaluation, and secure deployment at scale
• Oversee development and operationalization of state-of-the-art AI models (LLMs, diffusion models) ensuring scalability and robustness
• Stay abreast of AI Generative AI research and integrate relevant advances into client solutions and internal frameworks
• Mentor cross-functional AI teams, promoting knowledge sharing and reusable assets to drive delivery excellence

Key requirements

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or related discipline (preferred)
• Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions with stakeholder management
• Deep domain expertise applying AI/Generative AI in regulated or data-rich industries
• Track record of thought leadership in AI/ML (patents, publications, or open-source contributions)
• Industry certifications (AWS/Google/Azure/IBM ML) and relevant technical coursework knowledge

• Stakeholder management
• Excellent communication
• Mentoring and leadership
• Python expert; PyTorch, TensorFlow
• Generative AI libraries (LangChain, LangGraph)
• LLMs, prompt engineering, RAG pipelines, vector databases

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