AI Solutions Architect

We expect at least 5-7 years of deep, hands-on technical experience, expertise, and skills in three or more of the following areas: - Cloud AI Services experience and familiarity with Large Language Models (LLMs) are essential. - AI Infrastructure Design: Lead the architecture and implementation of AI/HPC infrastructure using GPUs/TPUs, high-speed networking, and scalable storage for GenAI/AI/ML workloads. - AI Deployment: Proven experience deploying large models in production on public clouds (OCI, AWS, Azure, GCP) and hybrid environments, utilizing microservices and containerization (Docker, Kubernetes) for scalable and reliable operations. - Large Language Models (LLMs): Deep expertise with closed and open-source LLMs across the full AI lifecycle—training, fine-tuning, and deployment for production inference. - Performance Optimization: Optimize AI infrastructure and applications on Oracle OCI, with a focus on computational efficiency and resource management. - Security & Compliance: Ensure all AI infrastructure and solutions comply with industry standards and organizational policies on security, privacy, and data governance. You should also have experience selling and positioning Oracle offerings, excellent written and verbal communication skills, and the ability to travel when required. Building and maintaining strong relationships with diverse stakeholders at all organizational levels is crucial, along with advanced organization, time management, and project management skills. Proficiency in English, both written and verbal, is mandatory.