Lead AI Architect, Associate Director - Insurance, AI&Data, Technology & Transformation

As a Lead AI Architect, your role will be to own the AI architecture strategy, supporting our clients to design, implement and operate scalable architectures that support 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 Insurance systems., * 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. At the same time, 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 insurance systems.
• Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, MLOps & 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.
• Develop the capability of junior team members through 'on the job' training and formal development programmes.

You are an exceptional communicator, able to articulate complex technical concepts to both technical and non-technical stakeholders with ease. You have a strong ability to collaborate and work effectively in a team environment, leveraging the strengths of others to achieve common goals. You are outcome focussed 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.

• Experience in data science and understanding of math/statistical concepts relevant to AI/ML.
• 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.
• Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless technologies, container / Kubernetes based deployments, GPU compute infrastructure.
• Working knowledge of Generative AI and hands on experience in deploying and hosting Large Foundational Models.
• 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 & tools.
• Experience in writing robust and efficient code in Python.
• Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain.
• Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments.
• Experience in developing and integrating APIs especially related to serve ML models.
• Experience on building solutions that are integrated with the enterprise to deliver end-to-end solutions. Ability to recommend different options and advice what is right for the use case.
• Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
• Ability to bring teams together and leading technical programmes to drive success through applying coaching, facilitation, stakeholder management and expectation management capabilities.
• Ability to lead 'go-to-market' activities such as responding to RFI / RFPs and developing high-quality proposal materials.

Desirable

• Advanced degrees in Computer Science or Data Science or equivalent.
• Experience in Insurance organisations or related Consulting practices.
• Professional certifications in AI/ML technologies and Cloud platforms.

Deloitte drives progress. Our firms around the world help our clients become market leaders wherever they compete. Deloitte invests in outstanding people with diverse talents and backgrounds, empowering them to achieve more than they can elsewhere. Our work combines consulting with action and integrity. We believe that when our clients and society are stronger, so are we.