Senior Principal AI Platform Engineer – OCI (Nashville)

Oracle; Nashville (TN); On-site; USD 115,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off

Job summary

Oracle in Nashville, TN, onsite, is seeking a Principal AI Agent/Software Engineer to lead the design and operation of next-generation AI systems on OCI. You will set architecture, guide multi-team execution, and stay hands-on in design, code, reviews, and incident follow-up for scalable, secure, and observable AI platforms.

The role emphasizes distributed systems, LLM orchestration, and enterprise-grade tooling, with a focus on reliability, cost efficiency, and security in a large-scale

Qualifications

• Bachelor’s, Master’s, or Ph.D. in Computer Science, AI/ML, Engineering, or related field, or equivalent practical experience.
• 6-10+ years of professional software engineering experience with ownership of production systems.
• Proven track record influencing architecture and execution across multiple teams.
• Deep experience with distributed systems, cloud services, and AI/ML platform services.
• Hands-on experience with production AI systems, agentic AI applications, and multi-agent orchestration.

Responsibilities

• Serve as a senior technical owner for OCI AI platform capabilities including agent execution, inference systems, model serving, AI workflow orchestration, evaluation, and observability.
• Design, architect, and deliver scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi-step orchestration, and safe human-in-the-loop escalation.
• Build production-grade services for tool calling, agent memory, context management, MCP integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluation.
• Lead architecture across distributed services optimized for low latency, high throughput, GPU efficiency, reliability, cost, operability, and secure multi-tenant operation.
• Define service boundaries, APIs, data models, state management, consistency tradeoffs, failure modes, SLIs/SLOs, rollout strategies, and operational readiness criteria for AI platform services.
• Drive technical strategy across infrastructure, platform, security, data, and application engineering teams, converting broad goals into executable multi-quarter plans and milestones.
• Integrate AI agents with enterprise APIs, cloud services, databases, identity systems, secrets management, and external systems.
• Establish AgentOps and LLMOps practices for tracing, monitoring, eval suites, regression testing, experimentation, safety guardrails, and production reliability.
• Evaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, and developer tooling.
• Drive engineering excellence through code reviews, design reviews, test strategy, deployment automation, incident analysis, and AI-assisted development practices.
• Mentor Staff and senior engineers, raise architectural standards, and influence engineering practices across OCI.
• Own critical production outcomes including reliability, performance, security posture, cost efficiency, and supportability.

Skills

Python

Distributed systems

Kubernetes

Docker

LLM orchestration

Education

Bachelor’s / Master’s / PhD in CS/AI/Engineering

Tools

LangGraph

LangChain

CrewAI

LlamaIndex

Job description

Oracle in Nashville, TN, onsite, is seeking a Principal AI Agent/Software Engineer to lead the design and operation of next-generation AI systems on OCI. You will set architecture, guide multi-team execution, and stay hands-on in design, code, reviews, and incident follow-up for scalable, secure, and observable AI platforms.

The role emphasizes distributed systems, LLM orchestration, and enterprise-grade tooling, with a focus on reliability, cost efficiency, and security in a large-scale