Manager, AI Solution Architect

• Translating 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.
• Collaborating with Enterprise, Application, Data, and DevOps Architects, Data Scientists, MLOps and GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
• Selecting appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.
• Supporting the successful execution and operational improvement of AI-powered applications using agile methodology.
• Working closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.
• Assisting 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.
• Developing and maintaining contact with client stakeholders and contributing to proposal development.
• Managing diverse teams within an inclusive team culture where people are recognised for their contribution and developing the capability of junior team members through training and formal development programmes on the job.

As an AI Architect, your role will be to develop the AI architecture strategy, supporting our Banking clients to design, implement, and operate scalable architectures that support the effective deployment of AI models, playing 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 with ease. You will have a strong ability to collaborate and work effectively in a team environment, leveraging the strengths of others to achieve common goals, and will be outcome focused and have a desire to be pragmatic in your approach to designing and delivering high-quality solutions that meet or exceed client expectations., * 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, performant, and cost optimized 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 serving ML models and on building solutions that are integrated with the enterprise to deliver end-to-end solutions.
• 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 and 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 contribute to 'go-to-market' activities such as bids, responding to requests for proposals, and developing high-quality proposal materials.

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