At a Glance
- Tasks: Lead AI architecture strategy and design scalable solutions for banking clients.
- Company: Join Deloitte's innovative AI & Data Financial Services team.
- Benefits: Enjoy a hybrid working model, competitive salary, and professional development opportunities.
- Other info: Collaborative environment with opportunities for career growth and skill development.
- Why this job: Make a real impact in the financial services industry with cutting-edge AI solutions.
- Qualifications: Proven experience in AI architecture and financial services, especially banking.
The predicted salary is between 80000 - 100000 £ per year.
Deloitte's AI & Data Financial Services team transforms the financial services industry by empowering clients with cutting‑edge AI solutions and data analysis. As a Lead AI Architect, you will own the AI architecture strategy and design scalable, high‑quality architectures that support the deployment of AI models for banking clients.
Key Responsibilities
- Translate the vision of senior client stakeholders into the AI/ML/GenAI architectural strategy and implementation roadmap, ensuring alignment with strategic goals and digital transformation efforts.
- Provide recommendations on the suitability of AI/ML initiatives and use cases for scaling across our client organisations.
- Design, recommend, and implement end‑to‑end architectures that seamlessly integrate AI/ML solutions with existing client systems.
- Collaborate with Enterprise, Application, Data, and DevOps Architects, Data Scientists, MLOps and GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
- Select appropriate technologies from a pool of open‑source and commercial offerings, considering deployment models and integration with existing tools.
- Be responsible for the successful execution and operational improvement of AI‑powered applications using agile methodology.
- Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.
- Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.
- Manage diverse teams within an inclusive team culture where people are recognised for their contribution and develop the capability of junior team members through training and formal development programmes on the job.
Qualifications
- Proven experience in architecture related disciplines.
- Demonstrate experience across the Financial Services industry, with a primary focus on the Banking sector.
- Demonstrate experience in implementing cloud‑based AI/ML workloads across one or more CSPs or third‑party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.
- Demonstrate experience in architecting scalable, performance‑optimised AI/ML solutions leveraging serverless technologies, container/Kubernetes‑based deployments, GPU compute infrastructure.
- Have a working knowledge of generative AI and hands‑on experience in deploying and hosting Large Foundational Models.
- Demonstrate experience with LLM architecture (e.g., Transformer, GANs, VAEs), fine‑tuning, Retrieval Augmented Generation techniques and context embedding, vector database technologies and Semantic Search techniques and tools.
- Demonstrate experience in writing robust and efficient code in Python and have experience in using tools related to deep learning like PyTorch, TensorFlow, LangChain.
- Have experience in designing and implementing key MLOps capabilities and frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments.
- Demonstrate knowledge in developing and integrating APIs especially related to serve ML models and on building solutions that are integrated with the enterprise to deliver end‑to‑end solutions, including an ability to recommend different options and advice what is right for the use case.
- Have experience in working within an architecture function and presenting architectural designs to a variety of stakeholders (incl. Technical Design Authorities or Architecture Boards).
- Demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
- Show an ability to bring teams together and lead technical programmes to drive success through applying coaching, facilitation, stakeholder management and expectation management capabilities.
- Have strong communication and collaboration abilities, with the capability to work effectively with cross‑functional teams and stakeholders.
- Be able to lead go‑to‑market activities such as bids, responding to requests for proposal, and on developing high‑quality proposal materials.
Location & Benefits
You will be based in London with a hybrid working model that balances office, virtual collaboration, client sites and remote work.
Senior AI Architect & Banking Strategy Leader employer: Hm Revenue & Customs (Hmrc)
Deloitte is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. As a Senior AI Architect & Banking Strategy Leader, you will thrive in a culture that values inclusivity and professional growth, with access to cutting-edge technology and training programmes designed to enhance your skills. The hybrid working model ensures flexibility, allowing you to balance your professional and personal life while contributing to transformative AI solutions for the financial services sector.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Architect & Banking Strategy Leader
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Deloitte. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with AI architecture and how you've tackled challenges in the banking sector. Real-life examples make you memorable.
✨Tailor Your Approach
Every conversation is an opportunity. Make sure to tailor your discussions to align with Deloitte's goals in AI and data for financial services. Show them you understand their vision and how you can contribute.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace Senior AI Architect & Banking Strategy Leader
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI architecture and the banking sector. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:When detailing your experience, focus on the specific technologies and methodologies you've used, especially those mentioned in the job description. We love seeing hands-on experience with tools like TensorFlow or Azure OpenAI Services, so make it pop!
Highlight Collaboration Experience:Since this role involves working with diverse teams, share examples of how you've successfully collaborated with different stakeholders. We’re all about teamwork here at StudySmarter, so let us know how you’ve brought people together to achieve goals.
Apply Through Our Website:We encourage you to submit your application through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in the latest AI architecture trends and technologies, especially those relevant to the banking sector. Be prepared to discuss specific projects where you've designed scalable AI/ML solutions, and how they align with business goals.
✨Showcase Your Collaboration Skills
This role involves working with various teams, so highlight your experience in cross-functional collaboration. Prepare examples of how you've successfully partnered with data scientists, DevOps engineers, and business stakeholders to implement AI solutions.
✨Prepare for Ethical AI Discussions
Given the focus on ethical AI implementation, brush up on current regulations and best practices. Be ready to discuss how you’ve addressed security and compliance issues in past projects, and your approach to mitigating risks in AI deployments.
✨Demonstrate Leadership and Mentorship
As a senior role, showcasing your leadership skills is crucial. Think of instances where you've led diverse teams or mentored junior members. Be prepared to discuss your coaching style and how you foster an inclusive team culture.
