AI & Data Architect

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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