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: Experience in AI architecture and cloud-based AI/ML workloads required.
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.
Associate Director, AI Solution Architect, Banking, Strategy, Governance & Architecture, AI & Data employer: Hm Revenue & Customs (Hmrc)
Deloitte is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration within the AI & Data Financial Services team. With a strong commitment to employee development, you will have access to comprehensive training programmes and opportunities to lead diverse teams, ensuring your contributions are recognised and valued. The hybrid working model promotes a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers in the banking sector.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director, AI Solution Architect, Banking, Strategy, Governance & Architecture, AI & Data
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your AI architecture projects and any relevant work you've done. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by researching the company and its culture. Understand their AI initiatives and think about how your experience aligns with their goals. Tailor your responses to show how you can contribute to their success.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that dream job!
We think you need these skills to ace Associate Director, AI Solution Architect, Banking, Strategy, Governance & Architecture, AI & Data
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Associate Director role. Highlight your experience in AI architecture and the banking sector, showing how you align with our vision at StudySmarter.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Detail your experience with cloud-based AI/ML workloads and any relevant technologies like Google PaLM or Azure OpenAI Services. We want to see what you can bring to the table!
Highlight Collaboration Experience:Since this role involves working with diverse teams, share examples of how you've successfully collaborated with different stakeholders. We love seeing how you can bring people together to achieve common goals.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy to do!
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 banking. Brush up on your knowledge of cloud-based AI/ML workloads and be ready to discuss how you’ve implemented these in past roles.
✨Showcase Your Collaboration Skills
This role involves working with various teams, so be prepared to share examples of how you've successfully collaborated with different stakeholders. Highlight your experience in leading diverse teams and how you’ve managed to bring everyone together towards a common goal.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about AI/ML solutions and architectures. Be ready to explain your thought process behind selecting specific technologies and how they integrate with existing systems. Practice articulating complex concepts in a way that’s easy to understand.
✨Demonstrate Your Strategic Thinking
The interviewers will want to see your ability to align AI strategies with business goals. Prepare to discuss how you’ve translated client visions into actionable architectural strategies and how you’ve contributed to digital transformation efforts in previous roles.
