[Remote] Principal AI Agent / ML Software Engineer (OCI)

Note: The job is a remote job and is open to candidates in USA. Oracle is a leading company in AI and cloud solutions, and they are seeking a Principal AI Agent / ML Software Engineer to provide technical leadership for next-generation AI systems on Oracle Cloud Infrastructure. The role involves defining architecture, building scalable AI systems, and leading technical strategy across teams to ensure reliable and efficient AI platform services.ResponsibilitiesServe as a senior technical owner for OCI AI platform capabilities, including agent execution, inference systems, model serving, AI workflow orchestration, evaluation, and observabilityDesign, architect, and deliver scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi-step task orchestration, and safe human-in-the-loop escalationBuild production-grade services for tool calling, agent memory, context management, Model Context Protocol (MCP) integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluationLead architecture across distributed services optimized for low latency, high throughput, GPU efficiency, reliability, cost, operability, and secure multi-tenant operationDefine service boundaries, APIs, data models, state management, consistency tradeoffs, failure modes, SLIs/SLOs, rollout strategies, and operational readiness criteria for AI platform servicesDrive technical strategy across infrastructure, platform, security, data, and application engineering teams, converting broad goals into executable multi-quarter plans and measurable milestonesIntegrate AI agents securely and reliably with enterprise APIs, cloud services, databases, identity systems, secrets management, and external systemsEstablish AgentOps and LLMOps practices for tracing, monitoring, eval suites, regression testing, experimentation, safety guardrails, prompt/tool versioning, and production reliabilityEvaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first developmentDrive engineering excellence through code reviews, design reviews, test strategy, deployment automation, incident analysis, documentation, and AI-assisted development practices using tools such as Codex, Claude Code, Cursor, Copilot, or similar systemsMentor Staff and senior engineers, raise architectural standards, and influence engineering practices across OCI without requiring direct management authorityOwn critical production outcomes, including reliability, performance, security posture, cost efficiency, and supportability for the systems deliveredSkillsBachelor's, Master's, or Ph.D. in Computer Science, AI/ML, Engineering, or a related field, or equivalent practical experience6-10+ years of professional software engineering experience, including significant ownership of production systems; or equivalent experience demonstrating Senior Staff / Principal-level impactProven track record as a Staff, Senior Staff, Principal, or equivalent technical leader influencing architecture and execution across multiple teamsDeep experience designing, building, and operating high-scale distributed systems, cloud services, infrastructure platforms, or AI/ML platform servicesHands-on experience with production AI systems, agentic AI applications, autonomous workflows, tool-using agents, multi-step orchestration, or multi-agent systemsPractical experience with orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or similar ecosystemsDeep understanding of LLM application patterns, including prompt design, structured outputs, function/tool calling, context management, RAG, memory, tool safety, and evaluationStrong programming skills in Python and ability to contribute high-quality production code, reviews, tests, and debugging in complex distributed environmentsStrong expertise with Kubernetes, Docker, cloud-native infrastructure, service-to-service communication, scalability, fault tolerance, observability, and performance analysisExperience defining SLIs/SLOs, production readiness criteria, incident response practices, monitoring, tracing, experiments, and reliability programs for AI or distributed systemsStrong understanding of AI safety, governance, security, and operational risks for autonomous or semi-autonomous systems, including data handling, access control, auditability, and human accountabilityExcellent written and verbal communication, with demonstrated ability to lead technical direction, resolve ambiguity, and influence senior stakeholdersExperience optimizing large-scale GPU inference or training workloads for latency, throughput, utilization, availability, and costExperience building or operating model serving, inference gateways, agent runtimes, workflow engines, developer platforms, or internal AI productivity platformsExperience integrating AI systems with enterprise APIs, databases, cloud services, vector databases, embeddings, retrieval systems, identity systems, and policy enforcement layersExperience with LLM fine-tuning, long-context systems, reasoning models, model routing, caching, batching, quantization, or emerging generative AI researchExperience building evaluation frameworks for agentic systems, including offline evals, online experiments, golden tasks, adversarial testing, regression gates, and observability dashboardsExperience using AI-assisted software development tools such as Codex, Claude Code, Cursor, Copilot, or similar systems in large-scale engineering environmentsTrack record of defining architectural standards, platform capabilities, or engineering practices adopted across multiple teams or organizationsExperience in enterprise, cloud infrastructure, regulated, security-sensitive, or mission-critical environmentsBenefitsMay be eligible for bonus, equity, and compensation deferral.Medical, dental, and vision insurance, including expert medical opinionShort term disability and long term disabilityLife insurance and AD&DSupplemental life insurance (Employee/Spouse/Child)Health care and dependent care Flexible Spending AccountsPre-tax commuter and parking benefits401(k) Savings and Investment Plan with company matchPaid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.11 paid holidaysPaid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.Paid parental leaveAdoption assistanceEmployee Stock Purchase PlanFinancial planning and group legalVoluntary benefits including auto, homeowner and pet insuranceCompany OverviewOracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions. It was founded in 1977, and is headquartered in Austin, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.oracle.com/.Company H1B SponsorshipOracle has a track record of offering H1B sponsorships, with 118 in 2026, 1271 in 2025, 846 in 2024, 995 in 2023, 1192 in 2022, 985 in 2021, 755 in 2020. Please note that this does not guarantee sponsorship for this specific role.