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We are seeking a visionary AI Architect to lead the design and delivery of transformative, enterprise-grade AI solutions. In this role, you will be pivotal in shaping the future of sports, healthcare, and education by architecting and implementing cutting-edge systems. You will translate complex business challenges into robust, scalable AI solutions using platforms like Azure AI Foundry and Google Agent Builder. Your work will involve deep integration with core enterprise systems, including ERP and CRM, ensuring our AI initiatives deliver measurable real-world impact. As a key leader, you will establish AI governance frameworks, championing ethical and transparent practices. You will apply a broad range of techniques, from NLP and computer vision to multi-agent systems, to optimize outcomes and drive innovation. This position requires a strategic thinker with deep technical expertise, capable of defining KPIs and demonstrating the tangible ROI of AI deployments. Join us to build next-generation AI solutions that make a difference.
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๐ฏ ๐ฅ๐ฒ๐พ๐๐ถ๐ฟ๐ฒ๐บ๐ฒ๐ป๐๐:
โธ Minimum 8 years in solution architecture, with at least 4 years in applied AI/ML.
โธ Demonstrated expertise in architecting scalable AI/ML solutions using Azure AI Foundry and/or Google Agent Builder.
โธ Proven experience integrating AI systems with enterprise platforms such as ERP, CRM, medical, or sports performance systems.
โธ Advanced knowledge of data architecture, including RAG, knowledge graphs, SQL, NoSQL, and vector databases.
โธ Hands-on experience applying NLP, computer vision, and predictive analytics to solve business problems.
โธ Strong ability to translate complex business cases and requirements into technical AI solution designs.
โธ Bachelorโs degree in AI, Data Science, Computer Science, Engineering, or a related field.
โธ Experience in implementing governance frameworks for AI transparency, compliance, and ethics.
โจ ๐๐ฒ๐๐ถ๐ฟ๐ฎ๐ฏ๐น๐ฒ๐:
โธ Masterโs or PhD in a relevant field.
โธ Certifications such as Microsoft AI Architect, Azure AI Foundry, or Google Cloud Professional Machine Learning Engineer.
โธ Direct industry experience in sports, healthcare, or education.
โธ Experience designing and implementing multi-agent systems.
โธ Proven track record of defining KPIs, monitoring AI model performance, and tracking ROI.
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๐ ๐ง๐ฎ๐ธ๐ฒ ๐๐ต๐ฒ ๐๐ฒ๐ฎ๐ฝ ๐ง๐ผ๐๐ฎ๐ฟ๐ฑ ๐ฎ๐ป ๐๐ ๐ฐ๐ถ๐๐ถ๐ป๐ด ๐๐๐๐๐ฟ๐ฒ โ ๐๐ฝ๐ฝ๐น๐ ๐ก๐ผ๐! ๐
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