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Job Description & How to Apply Below
Job Summary
- Design and deliver end-to-end AI solutions focused on sports, sport performance, education, and medical sectors.
- Develop scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
- Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution implementation.
- Integrate AI solutions with enterprise systems (ERP, CRM, medical, and sports performance platforms) and manage both structured and unstructured data sources.
- Ensure compliance with data regulations (GDPR, HIPAA, etc.), and implement AI governance, security, and risk management best practices.
- Deploy, customize, and optimize AI models for real-world applications; monitor system performance, scalability, and reliability.
- Serve as a liaison and advisor to internal stakeholders and clients, identifying opportunities for AI adoption and demonstrating measurable business value.
- Track and report on KPIs and ROI for AI deployments.
- Stay updated on advancements from cloud AI providers and implement relevant system improvements.
- Collaborate with cross-functional teams, bridging technical and business requirements.
- 8+ years of experience in Solution Architecture, with at least 4 years in applied AI/ML projects.
- Bachelor's degree in Computer Science, AI, Data Science, IT, or Engineering.
- Relevant certifications (e.g., MS Certified AI Developer/Architect, Azure AI Foundry, Google Cloud AI/ML platforms).
- Proven expertise in developing and deploying AI projects.
- Proficiency in AI concepts, tools, frameworks, and models.
- Strong solution architecture skills, including architecture evaluation, component modeling, and impact analysis.
- Proficient in SDLC, requirements analysis, and both high-level and detailed technical design.
- Advanced proficiency in Azure AI Foundry and Google Agent Builder for enterprise AI deployment.
- Knowledge of Advanced RAG for knowledge management, and experience with SQL, No
SQL, vector databases, knowledge graphs. - Ability to design secure, scalable, and high-performance AI systems.
- Excellent communication skills for interfacing with technical and non-technical stakeholders.
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