Oracle Cloud AI / Generative AI Consultant

## Role Overview We are seeking a senior-level Oracle Cloud AI / Generative AI Consultant to design and implement AI-enabled enterprise solutions using Oracle Cloud technologies. The role focuses on Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), Natural Language to SQL, Oracle Cloud Infrastructure (OCI), Oracle Fusion Applications, enterprise AI architecture, and cloud-native automation. The consultant will translate enterprise AI requirements into scalable solutions, integrate AI capabilities with Oracle applications and data platforms, and evaluate emerging AI technologies for enterprise adoption. Prior AT&T experience is required. ## Key Responsibilities - Design and implement AI-enabled enterprise solutions using Oracle Cloud technologies. - Develop and integrate Generative AI capabilities into enterprise applications. - Build agentic AI solutions for enterprise use cases. - Design and implement Retrieval-Augmented Generation (RAG) architectures. - Develop Natural Language to SQL capabilities for enterprise data platforms. - Integrate AI solutions with Oracle Fusion Applications and OCI. - Develop cloud-native automation solutions leveraging AI. - Evaluate emerging AI technologies and identify opportunities for enterprise adoption. - Collaborate with business and technical stakeholders to translate AI requirements into scalable solutions. ## What We Are Looking For - Senior-level hands-on experience designing and implementing AI-enabled enterprise solutions. - Strong practical experience with Generative AI, Agentic AI, and RAG architectures. - Hands-on experience developing Natural Language to SQL capabilities. - Strong experience with Oracle Cloud Infrastructure and Oracle Fusion Applications. - Experience designing enterprise AI architectures and cloud-native automation solutions. - Prior AT&T experience is required. ## Preferred & Bonus Experience - Practical experience integrating AI with enterprise applications and data platforms. - Experience applying AI-driven automation to Finance, Procurement, Supplier Lifecycle Management, Project Portfolio Management, or Enterprise Data Analytics use cases.