AI (Artificial Intelligence) Architect

Job Summary (List Format)

• 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

Required Skills

Key Skills

All-Source Intelligence,Military Intelligence,GIS,ICD Coding,Intelligence Experience,Military Experience,Analysis Skills,Microsoft Powerpoint,Joint Operations,Intelligence Analysis,Leadership Experience,Writing Skills

Employment Type : Full-time

Experience : years

Vacancy : 1

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