AI & Data Architect
Accenture · London, England ·
Last confirmed by our partners on 24 Oct 2026.
Overview
In this role you will lead AI, data and cloud architecture work within Accenture’s Secure Transformation Services for sovereign, mission-critical settings. You will shape strategy, designs and platform architectures across data, AI, and multi-cloud domains, partnering with cross-functional teams to deliver secure, scalable solutions. You will mentor others, engage executive stakeholders, and drive innovation in AI and GenAI in high-stakes public sector programs. This opportunity offers exposure to cutting-edge tech and a path to broader domain impact.
Pay / Benefits
- up to 30 days’ vacation per year
- private medical insurance
- 3 extra days leave per year for charitable work
Responsibilities
- Align business objectives with scalable cloud solutions
- Drive data, AI, security, and multi-cloud strategy innovation
- Design use-case and platform architectures leveraging cutting-edge tech
- Lead architecture work from inception to production in multi-disciplinary teams
- Provide technical leadership and mentor other architects and engineers
- Contribute to standard patterns and templates for emerging tech
- Engage senior stakeholders with cloud strategies and architectures
Key requirements
- AI/ML architectural patterns and platform technologies
- AI/ML-driven solution design and data lifecycle management
- Data solution design with cloud-native services and serverless microservices
- Cloud infrastructure knowledge (networking, security, monitoring, scaling)
- Hands-on data architecture experience with Java, Scala, Python or architecture-as-code (linkml, turtle, owl)
- Experience with both open source and vendor data platforms
- Experience with data architecture concepts and approaches
- Microservices architecture experience
- Designing for structured and unstructured data
- Effective communication to both technical and non-technical audiences
- Stakeholder management and collaboration
- Critical thinking and structured problem solving
- AI/ML architectural patterns
- Data architecture and lifecycle management
- Cloud-native data processing and storage
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