Associate Director, AI Solution Architect, Banking, Strategy, Governance & Architecture, AI & Data

Overview

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.

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