Senior AI Architect & Transformation Lead – Capital Markets

Senior AI Architect & Transformation Lead – Capital Markets

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement AI architecture strategies for Capital Markets clients.
  • Company: Join Deloitte, a leader in innovative solutions and collaborative culture.
  • Benefits: Enjoy hybrid working, competitive salary, and world-class professional development.
  • Other info: Be part of a diverse team that values inclusion and personal growth.
  • Why this job: Make a real impact by integrating cutting-edge AI solutions into financial systems.
  • Qualifications: Experience in AI architecture and strong communication skills required.

The predicted salary is between 80000 - 100000 £ per year.

As an AI Architect you will develop AI architecture strategy and support our Capital Markets clients to design, implement, and operate scalable infrastructures that enable the effective deployment of AI models. You will play a critical role in designing and delivering innovative architectures that seamlessly integrate AI solutions with existing enterprise systems. As a Senior Manager you will be an exceptional communicator, able to articulate complex technical concepts to both technical and non‑technical stakeholders. You will collaborate and work effectively in a team environment, delivering high‑quality solutions that meet or exceed client expectations.

Key Responsibilities

  • Translate the vision of senior client stakeholders and senior Deloitte architects into the AI/ML/GenAI architectural strategy and implementation roadmap, ensuring alignment with strategic goals and digital transformation efforts.
  • 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.
  • Support 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.
  • Assist project teams with technical review boards and design authority approvals, ensuring compliance with data privacy, security and regulatory requirements in AI solution design and implementation.
  • Develop and maintain contact with client stakeholders and contribute to proposal development.
  • Manage diverse teams within an inclusive culture where people are recognised for their contribution and develop the capability of junior team members through on‑the‑job training and formal development programmes.

Required Experience & Qualifications

  • Experience in architecture related disciplines.
  • Demonstrate experience across the Financial Services industry, with a primary focus on the Capital Markets sector.
  • Implement cloud‑based AI/ML workloads across one or more CSPs or third‑party vendor technologies (e.g., Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and SageMaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, DataRobot).
  • Architect scalable, performant, and cost‑optimised AI/ML solutions leveraging serverless technologies, container/Kubernetes based deployments, GPU compute infrastructure.
  • Working knowledge of generative AI and hands‑on experience deploying and hosting large foundational models.
  • Experience with large language model architecture (e.g., Transformer, GANs, VAEs), fine‑tuning, Retrieval Augmented Generation techniques and context embedding, vector database technologies and semantic search techniques and tools.
  • Write robust and efficient code in Python; experience with deep‑learning tools like PyTorch, TensorFlow, LangChain.
  • Design and implement key MLOps capabilities and frameworks for train, test, monitor, and improve lifecycles of AI/ML model deployments.
  • Develop and integrate APIs for serving ML models and building enterprise‑integrated solutions.
  • Experience presenting architectural designs to stakeholders (e.g., Technical Design Authorities or Architecture Boards).
  • Senior stakeholder management skills and ability to collaborate with multidisciplinary teams.
  • Lead technical programmes, applying coaching, facilitation, stakeholder and expectation management.
  • Strong communication and collaboration abilities with cross‑functional teams and stakeholders.
  • Contribute to go‑to‑market activities such as bids, responding to requests for proposal, and creating high‑quality proposal materials.

Hybrid Working

You will be based in London with a hybrid working model. Depending on role requirements, you may work in the local office, through virtual collaboration spaces, client sites, or remotely. Flexibility is supported to balance professional responsibilities with personal life.

Professional Development & Culture

Deloitte provides world‑class development opportunities, coaching and formal programmes to support continuous learning and career growth. The culture encourages inclusion, collaboration and continuous improvement across teams.

Senior AI Architect & Transformation Lead – Capital Markets employer: Hm Revenue & Customs (Hmrc)

Deloitte is an exceptional employer for the Senior AI Architect & Transformation Lead role, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong commitment to professional development, employees benefit from world-class training programmes and a culture that values inclusion and teamwork, ensuring that every team member's contributions are recognised and nurtured. The hybrid working model provides flexibility, allowing you to balance your professional and personal life while engaging with cutting-edge AI technologies in the Capital Markets sector.

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Contact Details:

Hm Revenue & Customs (Hmrc) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Architect & Transformation Lead – Capital Markets

Tip Number 1

Network like a pro! Reach out to your connections in the Capital Markets sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.

Tip Number 2

Showcase your skills! Create a portfolio or a GitHub repository where you can display your AI architecture projects. This gives potential employers a tangible look at what you can do, especially in the context of scalable AI solutions.

Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to articulate these ideas to both technical and non-technical stakeholders.

Tip Number 4

Don't forget to apply through our website! We have loads of exciting roles that match your expertise. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Senior AI Architect & Transformation Lead – Capital Markets

AI Architecture Strategy
Capital Markets Expertise
Cloud-based AI/ML Workloads
Serverless Technologies
Container/Kubernetes Deployments
Generative AI Knowledge
Large Language Model Architecture

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Senior AI Architect role. Highlight your experience in Capital Markets and any relevant AI architecture projects you've worked on. We want to see how your skills align with our needs!

Showcase Your Communication Skills:As a Senior Manager, you'll need to communicate complex ideas clearly. Use your application to demonstrate your ability to explain technical concepts to both tech-savvy and non-technical folks. We love seeing strong communication in action!

Highlight Team Collaboration:We value teamwork at StudySmarter, so make sure to mention your experience working with diverse teams. Share examples of how you've collaborated with different stakeholders to deliver successful AI solutions. It’s all about that team spirit!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our system. Plus, it shows you're keen on joining the StudySmarter family!

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 strategies, especially those relevant to Capital Markets. Brush up on your knowledge of cloud-based AI/ML workloads and be ready to discuss how you’ve implemented these technologies in past projects.

Communicate Complex Ideas Simply

As a Senior Manager, you'll need to articulate complex technical concepts to both technical and non-technical stakeholders. Practice explaining your previous projects in layman's terms, focusing on the impact and benefits rather than just the technical details.

Showcase Your Collaborative Spirit

Highlight your experience working with diverse teams, including Data Scientists and DevOps Engineers. Be prepared to share examples of how you’ve successfully collaborated on architectural designs and piloted use cases, demonstrating your ability to work effectively in a team environment.

Prepare for Ethical AI Discussions

Given the importance of ethical AI implementation, be ready to discuss how you foresee and mitigate risks in your projects. Familiarise yourself with upcoming regulations and be prepared to explain how you ensure compliance in your AI solution designs.