Principal Research Engineer - Agentic AI

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis eraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting‑edge agentic AI, generative AI, and innovations in machine learning and optimization.

Our AI and Applied Science team is seeking a highly motivated Principal Research Engineer to perform innovation in agent planning, reasoning, and the efficient implementation of multi‑step reasoning agents across Oracle’s AI Data platform and intelligent applications. In this role, you will research, architect, and prototype next‑generation agent planning and orchestration techniques (hierarchical planning, tool routing, memory, verification/critique, tree/graph search) and efficiency methods (distillation, quantization, caching, speculative decoding, retrieval) to improve latency, cost, and reliability for enterprise workloads.

You will design and implement verifiable, auditable reasoning systems—spanning reasoning traces, intermediate state management, and outcome validation—to drive trustworthy outcomes in production. Partnering closely with applied scientists, research engineers, and product teams, you will take solutions from lab to production, delivering measurable impact in globally scaled intelligent applications. This role requires deep expertise in agentic and generative AI with a strong focus on planning and multi‑step reasoning.

Hands‑on proficiency with modern ML/LLM stacks (e.g., Python, PyTorch/JAX, transformers, vector stores, orchestration frameworks) and systems performance techniques (KV‑cache management, batching, routing, parallelization) is a must. Familiarity with post‑training/fine‑tuning (RLHF/RLAIF, DPO, PEFT), alignment and guardrails, and symbolic‑neural hybrid methods is encouraged to partner effectively with modeling and platform teams.