Senior Research Engineer – Agentic AI

Job Summary

Oracle is hiring a Senior Research Engineer – Agentic AI in Douglas, Juneau, US. Join the Oracle Analytics AI & Applied Science team to create next‑generation enterprise AI solutions.

Key Responsibilities

• Design, develop, and evaluate cutting‑edge agentic and generative AI models for large‑scale enterprise analytics.
• Integrate advanced machine‑learning algorithms into Oracle’s data management platforms.
• Collaborate with product managers, data engineers, and software architects to translate research into production‑ready features.
• Publish research findings, contribute to patents, and represent Oracle at conferences.
• Mentor junior engineers and foster a culture of scientific rigor and innovation.

Required Qualifications

• Ph.D. or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of experience in AI research, with a focus on agentic or generative models.
• Strong programming skills in Python, Java, or C++ and experience with deep‑learning frameworks (TensorFlow, PyTorch).
• Proven track record of publishing in top AI conferences or journals.
• Excellent problem‑solving abilities and ability to work in a fast‑paced, collaborative environment.

Preferred Skills

• Experience with large‑scale distributed training and cloud platforms (AWS, OCI).
• Knowledge of optimization techniques, reinforcement learning, and natural language processing.
• Familiarity with Oracle’s data ecosystem and analytics products.

Compensation

Salary: $145,575.02 annually.

Frequently Asked Questions

What type of AI research will I work on at Oracle?

You will focus on agentic AI, generative AI, and advanced machine‑learning optimization for enterprise analytics platforms.

Do I need a Ph.D. for this position?

A Ph.D. is preferred, but a Master’s degree with extensive AI research experience is also acceptable.

Is remote work allowed for this role?

The position is based in Douglas, Juneau, US, and requires on‑site collaboration, though limited remote flexibility may be discussed.