About this role
Salary: £61,000 - 101,000 per year
Requirements: Experience across several of the following: AI/ML architectural patterns, best practices, and platform technologiesExperience designing AI/ML-driven solutions and data lifecycle managementExperience in data solution design, including selecting appropriate cloud-native services for data processing, management, and storage, with an emphasis on serverless microservicesExperience with cloud infrastructure, including networking, security, monitoring, and scalingExperience as a hands-on data architect when needed, with programming languages such as Java, Scala, or Python, or architecture-as-code such as linkml, turtle, or owlExperience with both open source and vendor data platformsExperience with data architecture, architectural concepts, methodologies, and approachesExperience with microservices architectureExperience designing for both structured and unstructured dataAbility to communicate effectively verbally and in writing to both technical and non-technical audiencesAbility to demonstrate critical thinking by analysing and evaluating information and presenting solutionsAbility to work in partnership with others and manage internal and external stakeholders effectivelyFamiliarity with a breadth of technologies and how they can be combined to solve customer problemsConsultancy experience is beneficial, or demonstrable experience working with clients or external partners in other settingsFoundational certifications in AWS and/or GCPSpecialist certifications in AWS and/or GCP on data engineering and/or AI/ML, such as AWS Certified Machine Learning Specialty Responsibilities: Align complex business objectives with scalable, secure cloud solutions, ensuring alignment with organisational goalsDrive innovation across data, AI, security, and multi-cloud strategies to enable digital transformationDesign use-case and platform technology architectures to solve key business challenges using reference and cutting-edge technologies and architectural patternsWork in multi-disciplinary teams to refine and deliver architecture from inception through to productionProvide technical leadership to shape technology strategy and solution design, managing and supporting other architects and engineersContribute to the STS and wider Data & AI community by sharing insights and experience, and guiding the creation of standard patterns and templates for emerging technologies based on client delivery experience and researchMentor managers and consultants, building technical capability and leadership within the teamEngage senior stakeholders and present cloud strategies and architectures to executive boards and governance forumsWork with public sector and adjacent clients supporting their missions associated with UK sovereign transformationWork with clients through strategy, solution, and delivery, using bespoke methods to research, test, and deploy securely at scaleLearn and grow through continuous learning and certificationServe as a cloud, data, and AI evangelist, educating customers on the value these technologies and approaches can bring to transform their business Technologies: AIAWSArchitectCloudGCPJavaMachine LearningNetworkPythonScalaSecurityServerlessmicroservicesSupport More:
We are partnering directly with Accenture to hire for an AI & Data Architect / AI & Data Senior Architect in London at Manager level (CL7). We are a leading global professional services company delivering strategy, consulting, technology, and operations services with strong digital capabilities. Our Secure Transformation Services team supports sovereign transformation across government, defence, Critical National Infrastructure, and regulated industries, building secure solutions that make our country safer. We offer a competitive salary and package dependent on experience, up to 30 days of vacation per year, private medical insurance, and 3 extra days of leave for charitable work of your choice. Flexibility and mobility are required, including time onsite with clients and partners. We value inclusion, diversity, innovation, shared success, and continuous learning in a global network of experts.
last updated 39 week of 2026