Take ownership of the client requirements, deliverables and accountabilities to ensure adherence to Architecture Governance processes, industry best practices and to maintain consistency with clients’ Architecture vision.
Drive the AI solution development and documentation of solution designs ensuring good architectural practices are observed through the lifecycle of the solution development.
Provide oversight of architectural direction for and on behalf of our clients.
Working with agile development teams and delivery architects through all phases of the solution lifecycle.
Take ownership of the solutions and be the face off to our internal and external senior stakeholders.

Solution architecture experience
Generative AI technology experience such as Resource Augmented Generation (RAG), knowledge graphs, advanced prompting, cloud based AI services such as Azure OpenAI, agent frameworks e.g. CrewAI, MCP
Software engineering experience. A lot of AI solutions are built in Python so a background in software engineering would be advantageous
Working with agile development teams and delivery architects through all phases of the solution lifecycle
Take ownership of the solutions and be the face off to our internal and external senior stakeholders
Develop excellent working relationships with our clients to become their trusted advisors through boldness and honesty.
Relationship management of the technical relationships with vendors, third parties and the wider Capgemini.
Ensure solution delivery is performed according to agreed specification.

countless training and development opportunities from thinktanks to hackathons
access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more
trained ‘Mental Health Champions’ across each of our business areas
invested in wellbeing apps such as Thrive and Peppy

AI Solutions Architect

Key skills