Job Url: https://eeho.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/jobsearch/job/303680 Job Description: Job Identification 303680 Job Category Product Development Role Individual Contributor Job Type Regular Employee Does this position require a security clearance? No Years 6 to 10+ years Applicants are required to read, write, and speak the following languages English Job Description OCI MultiCloud Innovation and Architecture team is hiring a Sr. Principal AI Engineer to leverage AI to solve engineering and customer challenges in the multicloud space.  You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of MultiCloud Innovation and Architecture team, you will take an active role in the definition and evolution of standard practices and procedures. Suggest and justify product directions within approved directions. Define responsibilities for new projects and specify, design, and develop software according to those specifications.   At Multicloud Services organization, our mission is to support customer choice, transparency, and value when it comes to cloud infrastructure. We make it easy for our customers to maximize the value of their Oracle investment as well as other clouds or on-premises infrastructure, and build highly distributed, scalable, and resilient Multicloud solutions to support their business.  Responsible for engaging with strategic and more complex engineering initiatives, building leadership relationships at multiple levels within organizations to design and implement solutions.  Implement solutions and ensure successful deployments from Proof of Concept (POC) through production deployment of services. Provides leadership and expertise in the development of new solutions, products, and processes, and maintains expertise by staying current on emerging technologies.  Responsibilities Key Responsibilities: Collaborate across product, engineering, and field teams to address complex AI/ML architecture challenges and ensure customer success. Partner with Engineering, region build, networking, and product to understand the pain points, identify areas of efficiency, and build AI/ML-centric data platforms Provide strategic guidance on data strategy, model lifecycle management, and Gen AI deployment patterns  Partner across engineering teams to assess, design, and evolve end-to-end AI-centric data architectures across Oracle Cloud Infrastructure (OCI) and hybrid environments Proactively recognize multicloud multi-year requirements, uncover unaddressed needs, and develop potential solutions across various customer groups. 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, OpenAI, Cohere, LangChain, CrewAI). 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, and NoSQL Design and implement scalable, secure, and efficient complex big data architectures. Manage and optimize large-scale databases. Must have a solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues. Troubleshooting and problem-solving skills Excellent communication and collaboration skills Commitment to continuous learning and staying up-to-date with the latest big data technologies and trends