Senior Principal Software Development Engineer, AI Data Platform

Job Description

Oracle’s Forward Deployed Engineer (FDE) team is hiring a Senior 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.

• Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work.
• Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to deploying your solution.
• 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.

• Experience with LLMs and agentic frameworks (e.g., MCP, Lang Chain, CrewAI, Semantic Kernel).
• Knowledge of RAG pipelines and vector DBs (e.g., Oracle 26ai, 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.

• Worked with multiple Cloud Platforms.
• Certification in Data Platform or a related field.

Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

US:
Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.