At a Glance
- Tasks: Lead the design and implementation of transformative AI solutions for clients.
- Company: Join Deloitte's AI Institute, a leader in engineering and data innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on mentorship and knowledge sharing.
- Why this job: Shape the future of AI while working with cutting-edge technologies and top-tier clients.
- Qualifications: PhD or strong background in AI/ML; experience in leading technical teams.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking an experienced Lead GenAI System Architect in the AI Institute, a centre of excellence in Deloitte's Engineering, AI & Data service offering. You will work with clients, third parties, and Deloitte teams across the firm to design, deliver, and operate generative AI solutions that transform organisations.
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, 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, 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.
Education & Experience
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline 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.
- 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 Certifications) and deep understanding of technical courses 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.
- 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.
Working Location
Based in London with a hybrid working model, combining office, virtual collaboration spaces, client sites and remote work as required.
Manager, Lead AI Architect, AI Institute, Engineering, AI & Data, Technology & Transformation in London employer: Hm Revenue & Customs (Hmrc)
Deloitte's AI Institute offers an exceptional work environment for the Lead GenAI System Architect role, fostering a culture of innovation and collaboration. Employees benefit from a hybrid working model in London, allowing for flexibility while engaging with cutting-edge AI technologies and mentoring opportunities. With a strong emphasis on professional growth and access to a wealth of resources, Deloitte empowers its team members to lead transformative projects that make a real impact in the industry.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Lead AI Architect, AI Institute, Engineering, AI & Data, Technology & Transformation in London
✨Network Like a Pro
Get out there and connect with people in the AI and tech space! Attend meetups, webinars, or industry events. The more you engage with others, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with your projects, especially those involving AI and Generative AI. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI architecture. Be ready to discuss your past projects and how they align with the role. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who take the initiative to connect with us directly!
We think you need these skills to ace Manager, Lead AI Architect, AI Institute, Engineering, AI & Data, Technology & Transformation in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with AI and Generative AI, and don’t forget to mention any relevant projects or achievements that align with what we’re looking for.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your background makes you the perfect fit for this role. Be sure to connect your skills to our mission at StudySmarter.
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of your work with Python, AI frameworks, and any cloud platforms you've used. This will help us understand your hands-on experience and how you can contribute to our team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and Generative AI. Be ready to discuss your experience with large language models, data pipelines, and any relevant projects you've worked on. This will show that you're not just familiar with the theory but have practical knowledge too.
✨Engage with Stakeholders
Since the role involves working closely with senior client stakeholders, practice how you would approach these conversations. Think about how to articulate complex AI concepts in a way that's easy for non-technical audiences to understand. This will demonstrate your communication skills and ability to bridge the gap between tech and business.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or mentored others in previous roles. Highlight your experience in managing technical teams and fostering collaboration. This is crucial for a managerial position, so be ready to discuss how you promote knowledge sharing and best practices.
✨Be Ready for Technical Questions
Expect some deep dives into your technical expertise, especially around Python, AI frameworks, and cloud platforms. Brush up on your understanding of MLOps principles and be prepared to discuss how you've implemented security best practices in your projects. This will help you stand out as a candidate who can handle the technical demands of the role.
