Principal Software Development Engineer – AI Data Platform
Listed on 2026-01-02
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IT/Tech
AI Engineer, Data Engineer
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.
- Experience with LLMs and agentic frameworks (e.g., MCP, Lang Chain, CrewAI, Semantic Kernel).
- Knowledge of RAG pipelines and vector DBs (e.g., 26ai (Select
AI), 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 No
SQL. - 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.
Range and benefit informationUS:
Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.
Flexible Vacation is provided to all eligible employees assigned to a salaried (non‑overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week.
Employees working fewer than 20 hours per week are not eligible for vacation.
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