Deloitte
Senior Manager, Lead GenAI Engineer, Engineering, AI & Data, Technology & Transformation
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JOB DESCRIPTION
Connect to your Industry
Do you want to be at the heart of some of the biggest and most ambitious AI & Data projects?
We are seeking to hire experienced Lead GenAI System Architect(s) in the AI Institute, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.
You will be working with clients and other third parties, as well as Deloitte teams from across the Firm. You will have the opportunity to work with a huge variety of interesting, international, and world-leading clients who are navigating an evolving marketplace where Generative AI is taking artificial intelligence to a new level. This technology has the potential to transform various industries by creating higher-order opportunities such as new services, business models, and improved productivity across the value chain. You will have a degree of technical knowledge, as well as the ability to communicate to business users.
Technology & Transformation: How do you make intelligent, future-proof decisions in a world where change is the one constant? That's exactly what you'll help our clients to do. You'll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data-driven programmes that transform their organisations.
Your advice will help clients position their organisations to succeed in an ever-evolving marketplace.
Your role
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.
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Connect to your skills and professional experience
We are looking for candidates who are able to demonstrate skills and experience in some of the following:
EDUCATION & EXPERIENCE
- 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.
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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.
BASIC INFORMATION
Location
London
Business Line
Technology & Transformation
Job Type
Permanent / FTC
Date published
28-Sep-2026
Req #
21967
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