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$ cat jobs/ai-architect-european-dynamics-15b9c5b42675.json

AI Architect

european dynamics·Worldwide·Greece·senior
awsazurellmci/cdmicroservices
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We currently have a vacancy for an AI Architect , to be involved in a very important international project offering rapid career evolution. The candidate will join a software development team that uses cutting-edge technology to implement challenging IT software projects for major international public organisations. The candidate will receive adequate training and support to develop their career expectations. What You'll Do: Own the end-to-end technical architecture of GenAI and LLM solutions across multiple enterprise engagements; Translate business and functional requirements into secure, scalable, production-ready AI architecture blueprints; Design advanced GenAI pipelines including RAG architectures, orchestration layers, evaluation frameworks, and model deployment strategies; Drive AI governance, observability, monitoring, and responsible AI practices, ensuring architectural integrity across complex client environments. Requirements Must-Have Qualifications: 3+ years of experience in AI/ML engineering or solution architecture, with a proven track record of enterprise-grade AI delivery from concept to production; Strong hands-on experience architecting GenAI solutions: prompt engineering strategies, RAG architectures, LLM evaluation frameworks, and production deployment patterns; Deep understanding of distributed systems, APIs, microservices, data architectures, and cloud-native design principles; Proven experience designing scalable AI solutions on AWS and/or Azure, including MLOps and CI/CD practices; Demonstrated ability to translate complex business requirements into clear technical blueprints and solution architectures; Fluent in spoken and written English. Nice-to-Have Qualifications: Experience in consulting, systems integration, or public-sector IT environments; Hands-on experience with AIOps practices, LLM monitoring frameworks, and AI governance models; Knowledge of frameworks such as LlamaIndex, LangGraph, and AI evaluation toolkits, and experience wi

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