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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead GenAI System Architect - **Company:** Deloitte - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Transformation, Apache Hadoop, Monitoring of Systems, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, SQL Databases, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Storage Technologies, Information Technology, Machine Learning Operations - **Published:** July 25, 2026 - **Apply:** https://apply.deloitte.co.uk/UKCareers/Login?jobId=21967 ## About the Role We are looking for candidates who are able to demonstrate skills and experience in some of the following, * PhD or equivalent in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline, or equivalent preferred. * Outstanding 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 experience managing technical teams and stakeholder relationships. * Deep domain expertise in applying AI and Generative AI within a regulated or data-rich industry (e.g., 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 (AWS/Google/Azure/IBM ML or equivalent Certifications) and deep understanding of technical courses (e.g., Andrew Ng's Coursera Courses, Andrei Karpathy's Tutorials) highly desirable. TECHNICAL PROFICIENCY * Demonstrated success leading the end-to-end development and deployment of complex, production-grade AI/ML and Generative AI solutions; evidence of real-world impact highly desirable. * Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred. * Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases, and generative architectures; related security practices and evaluation procedures; hands-on experience fine-tuning, deploying and evaluating large-scale production systems. * Hands-on experience designing and implementing robust evaluation frameworks, security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems. * Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred. * Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks. * Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus. * Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences. ## Description As a Lead GenAI System Architect, you will solve our clients' most challenging business problems by applying Generative AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions. In this role, you may be expected to: * 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, encompassing data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale. * Oversee the development and operationalisation of state-of-the-art AI models, including large language models (LLMs), diffusion models, and other generative techniques, ensuring scalability, efficiency, and robustness. * Stay at the forefront of AI and Generative AI research, actively 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)