About this role
Take your career to the next level by joining one of the world's best and most recognised professional services firms. We are seeking to hire experienced AI Architects in the Insurance practice of Deloitte's AI & Data service offering.
You will have the opportunity to work with a huge variety of interesting, international, and world-leading insurance clients who are navigating an evolving marketplace where Generative AI is taking artificial intelligence to a new level. This technology has the potential to transform the insurance industry by creating higher-order opportunities such as new services, business models, and improved productivity across the insurance value chain.
As a Lead AI Architect, you will solve our clients’ most challenging business problems by applying Generative AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions.
Connect to your opportunity
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.
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 focused and have a desire to be pragmatic in your approach to designing and delivering high-quality solutions that meet or exceed client expectations.
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. 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 programme.
Connect to your skills and professional experience
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.
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.
Connect to your next step
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day. And you’ll never stop growing, whatever your level.
Discover more reasons to connect with us, our people and purpose-driven culture at deloitte.co.uk/careers .
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