Principal Software Development Engineer - AI Data Platform

Job Description

Job Description Oracle?s Forward Deployed Engineer (FDE) team is hiring a Principal Software Development Engineer - 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. Key Responsibilities: Design, implement, and maintain scalable software components and services that support AI/ML workloads. Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services. Optimize performance, scalability, and reliability of distributed data/AI systems. Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges. Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables. Document technical designs and contribute to knowledge-sharing (e.g., blogs, internal docs, demos). Continuously explore new tools, frameworks, and best practices in AI, cloud, and data engineering. Responsibilities 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, and Nosql Design and implement scalable, secure, and efficient complex 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 Desirable Skills: Worked with multiple Cloud Platforms. Certification in Big Data or a related field. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow?s technology to tackle today?s challenges. We?ve partnered with industry-leaders in almost every sector?and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That?s why we?re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We?re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans? status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.