Principal Solutions Architect, AI Data Platform

Principal Solutions Architect, AI Data Platform at Oracle in Boise, Idaho, United States Job Description Job Description Oracle's Customer Excellence Advisory Lead (CEAL) team is hiring a Principal Solutions Architect - AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle's Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies. Responsibilities Key Responsibilities: + Collaborate across product, engineering, and field teams to address complex AI/ML architecture challenges and ensure customer success. + Deliver technical workshops, blogs, and presentations to evangelize best practices around Oracle AI Data Platform. + Provide strategic guidance on data strategy, model lifecycle management, and Gen AI deployment patterns using OCI AI Services. + Partner with customers to assess, design, and evolve end-to-end AI-centric data architectures across Oracle Cloud Infrastructure (OCI) and hybrid environments + Proactively recognize customer requirements, uncover unaddressed needs, and develop potential solutions across various customer groups. + Review and support big data infrastructures: This involves review of existing comprehensive designs for big data architectures that align with the business's strategic goals and requirements. + Collaborating with cross-functional teams. + Prepare for complex product or solution-related inquiries or challenges that customers may present. + Promote understanding of customer complexities and the value propositions of various programs (e.g., speaking at different events, team meetings, product reviews) to key internal stakeholders. Primary Skills: + Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel). + Knowledge of RAG pipelines and vector DBs (e.g., 23ai, FAISS, Pinecone, Weaviate). + Familiarity with OCI Gen AI Services and model lifecycle workflows. + Solid Python and REST API skills. + Exposure to building autonomous agents and orchestration pipelines. + Experience working with cloud platforms like Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Big Data Service (BDS) and Big Data Appliance (BDA). + Proficiency in big data technologies such as Hadoop, Spark, Kafka, a To view full details and how to apply, please login or create a Job Seeker account