Senior Manager, Lead AI Architect, AI Institute, Engineering, AI & Data, Technology & Transformation

Job Description

We are seeking experienced Lead GenAI System Architect(s) in the AI Institute, a centre of excellence in Deloitte’s Engineering, AI & Data service offering. You will work with clients and third parties, as well as Deloitte teams, to design, develop, and operate advanced Generative AI solutions that transform organisations.

Your role

As a Lead GenAI System Architect, you will solve clients’ most challenging business problems by applying Generative AI and ML techniques. 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 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, 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.

Qualifications – Education & Experience

• PhD or equivalent in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline, or equivalent preferred.
• Exceptional 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 applying AI and Generative AI within a regulated or data‑rich industry (e.g., financial services, healthcare).
• 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) and deep understanding of technical courses (e.g., Andrew Ng’s Coursera Courses, Andrei Karpathy’s Tutorials) highly desirable.

Qualifications – Technical Proficiency

• Demonstrated success leading 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).
• Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases, 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 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.

Location: Based in London with hybrid working flexibility.

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