2 days ago
Base Salary
$115k - $235k/yr
Responsibilities
- Own OCI AI platform capabilities including agent execution, inference systems, model serving, workflow orchestration, evaluation, and observability.
- Design and deliver scalable agentic AI systems supporting reasoning, planning, tool use, workflow execution, multi-step orchestration, and human-in-the-loop escalation.
- Build production services for tool calling, agent memory, context management, Model Context Protocol integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluation.
- Lead architecture for distributed services optimized for latency, 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.
- Drive technical strategy and multi-quarter execution across infrastructure, platform, security, data, and application engineering teams.
- Integrate AI agents with enterprise APIs, cloud services, databases, identity systems, secrets management, and external systems.
- Establish AgentOps and LLMOps practices for tracing, monitoring, evaluation, regression testing, experimentation, guardrails, versioning, and reliability.
- Evaluate and operationalize emerging generative AI, agentic workflow, inference optimization, long-context, reasoning-model, developer-tooling, and agentic-development technologies.
- Drive code reviews, design reviews, test strategy, deployment automation, incident analysis, documentation, and AI-assisted development practices.
- Mentor Staff and senior engineers and raise architectural and engineering standards across OCI.
- Own production reliability, performance, security posture, cost efficiency, and supportability outcomes.
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science, AI/ML, Engineering, or a related field, or equivalent practical experience.
- 6-10+ years of professional software engineering experience or equivalent Senior Staff / Principal-level impact.
- Track record as a Staff, Senior Staff, Principal, or equivalent technical leader influencing architecture and execution across multiple teams.
- Deep experience designing, building, and operating high-scale distributed systems, cloud services, infrastructure platforms, or AI/ML platform services.
- Hands-on experience with production AI systems, agentic AI applications, autonomous workflows, tool-using agents, multi-step orchestration, or multi-agent systems.
- Practical experience with LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or similar orchestration ecosystems.
- Understanding of prompt design, structured outputs, function and tool calling, context management, RAG, memory, tool safety, and evaluation.
- Strong Python programming skills and ability to produce production code, reviews, tests, and debugging in complex distributed environments.
- Strong expertise with Kubernetes, Docker, cloud-native infrastructure, service communication, scalability, fault tolerance, observability, and performance analysis.
- Experience defining SLIs/SLOs, production-readiness criteria, incident response, monitoring, tracing, experiments, and reliability programs.
- Understanding of AI safety, governance, security, operational risks, data handling, access control, auditability, and human accountability.
- Strong written and verbal communication with the ability to lead technical direction, resolve ambiguity, and influence senior stakeholders.
- Preferred: experience optimizing GPU inference or training workloads and operating model serving, inference gateways, agent runtimes, workflow engines, developer platforms, or internal AI productivity platforms.
- Preferred: experience integrating AI systems with enterprise APIs, databases, cloud services, vector databases, embeddings, retrieval systems, identity systems, and policy layers.
- Preferred: experience with fine-tuning, long-context systems, reasoning models, model routing, caching, batching, quantization, evaluation frameworks, offline and online evaluations, adversarial testing, and observability dashboards.
- Preferred: experience using Codex, Claude Code, Cursor, Copilot, or similar AI-assisted development tools.
- Preferred: experience defining architectural standards or engineering practices adopted across multiple teams or organizations and working in enterprise, cloud infrastructure, regulated, security-sensitive, or mission-critical environments.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term and long-term disability insurance, life insurance, AD&D, and supplemental life insurance.
- Health care and dependent care Flexible Spending Accounts.
- Pre-tax commuter and parking benefits.
- 401(k) Savings and Investment Plan with company match.
- Paid vacation, 11 paid holidays, and paid sick leave.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning, group legal, and voluntary auto, homeowner, and pet insurance benefits.
- The role is onsite in Nashville, Tennessee.
- US-based employees must complete identity verification, including biometric information processing, subject to applicable accommodations.
Tech Stack
Categories
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.