AI Architect with Development Competence at AI Center
Workplace: Uppsala, Sverige
Expires: August 24, 2025
Join Region Uppsala's newly established AI Center responsible for responsible and value-creating use of Artificial Intelligence (AI) across the region. As an AI Architect, you will design and support technical solutions that enable the organization's AI initiatives, ensuring scalable and robust solution architectures and collaborating closely across teams.
Main requirements:
- University degree in IT, Computer Science, or equivalent professional experience.
- At least 2 years experience as a solution architect or senior developer working with production systems handling large data volumes, e.g., AML, KYC, BI, or AI.
- At least 2 years experience in regulatory controlled industries.
Responsibilities:
- Design and support technical solutions that enable AI initiatives within the organization.
- Ensure platforms, systems, and tools are optimally integrated to support data analysis and decision support needs.
- Be domain responsible for systems central to Region Uppsala's AI usage.
- Ensure solution architecture including data flows, data platforms, and analytic tools are scalable and robust.
- Implement parts of the architecture in production as needed.
Required hard skills:
- Solution architecture for large-scale data systems
- Experience working in regulatory environments
- Knowledge of AI systems lifecycle and integration
Recommended hard skills:
- Experience with container architectures and CI/CD pipelines
- Experience with monitoring, metadata management, and data lineage
- Experience with solution architecture or implementation of RAG or GenAI systems
Soft skills:
- Initiative-taking and activity-driven
- Responsible and structured work approach
- Effective planning, organizing, and prioritizing work
- Persuasive influence and ability to change opinions
- Good judgement and prioritization skills
Natural languages:
- Swedish (Proficient)
- English (Working knowledge)
Cultural skills:
- Ability to work in a multi-disciplinary team environment
- Commitment to ethical and sustainable AI practices
- Engagement in public sector development and digitalization
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