Principal AI Agent / Software Engineer- Nashville

Oracle; Boise (ID); On-site; USD 180,000 - 230,000; Full time

Job summary

Oracle Corporation in Nashville, TN seeks a Principal AI Agent / Software Engineer to lead production AI platforms on Oracle Cloud Infrastructure (OCI). This senior, hands-on role defines architecture, guides multi-team delivery, and helps shape durable technical strategy across enterprise AI applications.

The candidate will architect scalable inference, orchestrate LLMs and tools, implement guardrails, and ensure secure, observable platforms for large-scale business systems.

Qualifications

• Deep expertise in distributed systems and AI-native engineering.
• Experience leading multi-team execution without direct authority.

Responsibilities

• Define architecture and engineering direction for production-grade AI platforms on OCI.
• Lead and ship scalable AI systems, autonomous workflows, and inference infrastructure.
• Mentor engineers and drive incident reviews, design reviews, and operational excellence.

Job description

This role in onsite in Nashville, TN.

The Principal AI Agent / Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will set architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments.

This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain deeply hands-on in design, code, reviews, operations, and incident follow-up. The ideal candidate combines deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services. The expectation is to ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems while raising the technical bar for engineers across the organization.

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