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.
Qualifications :
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).
Required Skills :
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, NoSQL, 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.