Lead AI Engineer

Salary: £95,000 - 130,000 per year

Requirements

• PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline preferred.
• Candidates with strong quantitative, computer science, or engineering backgrounds in a related field will also be considered.
• Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions, including managing technical teams and stakeholder relationships.
• Deep domain expertise in applying AI and Generative AI within a regulated or data-rich industry such as financial services, healthcare, or similar.
• Demonstrated track record of thought leadership in AI/ML, evidenced by patents, publications, or significant open-source contributions.
• Relevant industry certifications such as AWS, Google, Azure, or IBM ML certifications are highly desirable.
• Strong technical knowledge in AI/ML, with expert-level proficiency in Python and modern frameworks such as PyTorch and TensorFlow.
• Experience with Generative AI libraries and toolkits such as LangChain and LangGraph, or related open-source tools, is strongly preferred.
• Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases, generative architectures, security practices, and evaluation procedures.
• Hands-on experience fine-tuning, deploying, and evaluating large-scale production systems.
• Experience designing and implementing evaluation frameworks, security best practices, and ethical guardrails for safe, responsible, and compliant AI deployment.
• Broad experience across major cloud platforms such as AWS, Azure, and GCP, with Generative AI services; cloud-agnostic experience is preferred.
• Strong grasp of MLOps and LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.
• Proficiency with large-scale data processing and storage technologies such as SQL, Spark, and Hadoop is a plus.
• Excellent stakeholder management and communication skills, with the ability to translate complex AI concepts for diverse audiences.

Responsibilities

• Engage directly with senior client stakeholders and internal leadership teams to shape, define, and deliver transformative AI and Generative AI strategies aligned with business goals.
• Lead the design, development, and implementation of advanced AI pipelines, including data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale.
• Oversee the development and operationalisation of AI models, including large language models, diffusion models, and other generative techniques, ensuring scalability, efficiency, and robustness.
• Stay at the forefront of AI and Generative AI research, evaluating emerging technologies 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 to drive delivery excellence and sustainable growth.
• Solve clients most challenging business problems by applying Generative AI and other ML techniques to design, deliver, and operate robust AI solutions.

Technologies

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Fine-tuning
• GCP
• Hadoop
• IBM
• Support
• Machine Learning
• MLOps
• PyTorch
• Python
• RAG
• SQL
• Security
• Spark
• TensorFlow
• Architect

More

We are Deloitte, and we are seeking experienced Lead GenAI System Architects to join our AI Institute within our Engineering, AI & Data service offering in London with hybrid working. You will work with clients, third parties, and Deloitte teams across the firm on international, world-leading projects where Generative AI is transforming industries. We offer a collaborative, inclusive culture with a strong focus on wellbeing, flexibility, development, and purpose-driven work. Our Technology & Transformation and Engineering, AI and Data teams help clients re-engineer the core of their organisations and create better futures for their customers, citizens, and employees. We value diverse perspectives, support flexible working across office, virtual, client site, and remote settings, and provide world-class development so our people can continue to grow and make an impact that matters.

last updated 36 week of 2026