AI & Data Architect
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Role details
Tech stack
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Job description
- Align complex business objectives with scalable, secure cloud solutions, ensuring alignment with organisational goals
- Drive innovation across data, AI, security, and multi-cloud strategies to enable digital transformation
- Design use-case and platform technology architectures to solve key business challenges using reference and cutting-edge technologies and architectural patterns
- Work in multi-disciplinary teams to refine and deliver architecture from inception through to production
- Provide technical leadership to shape technology strategy and solution design, managing and supporting other architects and engineers
- Contribute 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 research
- Mentor managers and consultants, building technical capability and leadership within the team
- Engage senior stakeholders and present cloud strategies and architectures to executive boards and governance forums
- Work with public sector and adjacent clients supporting their missions associated with UK sovereign transformation
- Work with clients through strategy, solution, and delivery, using bespoke methods to research, test, and deploy securely at scale
- Learn and grow through continuous learning and certification
- Serve as a cloud, data, and AI evangelist, educating customers on the value these technologies and approaches can bring to transform their business
Technologies:
- AI
- AWS
- Architect
- Cloud
- GCP
- Java
- Machine Learning
- Network
- Python
- Scala
- Security
- Serverless
- microservices
- Support
Requirements
- Experience across several of the following: AI/ML architectural patterns, best practices, and platform technologies
- Experience designing AI/ML-driven solutions and data lifecycle management
- Experience in data solution design, including selecting appropriate cloud-native services for data processing, management, and storage, with an emphasis on serverless microservices
- Experience with cloud infrastructure, including networking, security, monitoring, and scaling
- Experience 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 owl
- Experience with both open source and vendor data platforms
- Experience with data architecture, architectural concepts, methodologies, and approaches
- Experience with microservices architecture
- Experience designing for both structured and unstructured data
- Ability to communicate effectively verbally and in writing to both technical and non-technical audiences
- Ability to demonstrate critical thinking by analysing and evaluating information and presenting solutions
- Ability to work in partnership with others and manage internal and external stakeholders effectively
- Familiarity with a breadth of technologies and how they can be combined to solve customer problems
- Consultancy experience is beneficial, or demonstrable experience working with clients or external partners in other settings
- Foundational certifications in AWS and/or GCP
- Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML, such as AWS Certified Machine Learning Specialty
About the company
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.
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