Job Description
Job Brief:
We are looking for a Senior AI Architect to design and guide the implementation of enterprise AI solutions, with a strong focus on Microsoft Foundry / Azure AI Foundry. The role combines solution architecture, hands-on involvement in implementation and oversight of operations. The goal is to turn business use cases into production-ready solutions, ensuring security, scalability, quality and cost control. You will work in an international organization, collaborating with global teams.
Responsibilities:
- Define architectures and reusable patterns for generative AI solutions, including agents, copilots, assistants and RAG applications built on enterprise data.
- Design secure integrations with data platforms, documents, APIs and enterprise applications.
- Guide technical teams and implementation partners, taking part in solution assessments and architecture reviews.
- Define AI evaluation, security and governance criteria, including data protection, access control, traceability and human oversight.
- Oversee the move to production and the full lifecycle of solutions, including monitoring, support, and performance and cost optimization.
Requirements & Skills:
- Degree in Computer Science, Engineering, Data Science, Artificial Intelligence or a related field.
- Around 10 to 12 years of overall experience in technology, including at least 4 years in solution architecture across Azure, data, integration, cloud applications or AI.
- At least 2 years of experience with generative AI, LLMs, RAG, AI agents or model integration.
- Hands-on experience or solid architectural knowledge of Microsoft Foundry / Azure AI Foundry, including agents, model deployment, evaluation and monitoring.
- Experience with Azure services for AI and integration, including Azure OpenAI, Azure AI Search, API management and identity.
- Experience designing RAG solutions on enterprise data and secure API-based integrations.
- Knowledge of cloud security, data governance and responsible AI, including response evaluation and risk mitigation.
- Strong technical leadership, architecture documentation and communication skills with technical teams, business stakeholders and external partners.
- Professional English, written and spoken, and experience working in international environments.
- Availability for occasional travel, according to project needs.
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