Senior Principal AI Agent / ML Software Engineer (OCI)

Oracle

Actively hiring Verified listing
Redwood City, CA · Seattle, WA Posted 9 days ago
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At a glance

AI generated

TL;DR

The Senior Principal AI Agent / ML Software Engineer at Oracle Cloud Infrastructure (OCI) is a senior staff-level role requiring hands-on technical leadership to define and build next-generation AI systems. This individual will lead the architecture and engineering of production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise applications in large-scale business-critical environments. Key responsibilities include designing distributed services for low latency and high throughput, integrating AI agents with enterprise APIs securely, establishing LLMOps practices, and mentoring senior engineers while raising technical standards across the organization. The ideal candidate has extensive experience with Python, Kubernetes, Docker, cloud-native infrastructure, and orchestration frameworks like LangGraph or LangChain, along with a deep understanding of LLM application patterns and AI safety governance. This role demands expertise in defining service boundaries, APIs, SLIs/SLOs, and operational readiness criteria for reliable, secure, observable, and cost-aware systems.

Skills

Python Kubernetes Docker LLM LangChain Prometheus Grafana CI/CD Terraform Oracle Cloud Infrastructure (OCI) PostgreSQL Redis MongoDB GitLab GitHub Jenkins Ansible AWS Azure Google Cloud Platform OpenAPI GraphQL RESTful APIs Swagger JSON YAML Docker Compose Kafka RabbitMQ Zookeeper Elasticsearch Kibana Flask FastAPI TensorFlow PyTorch Scikit-learn Pandas NumPy Jupyter Notebook Git GitHub Actions Confluence Jira Swagger UI Postman Docker Swarm Nomad Consul Vault Helm Istio Envoy Proxy Knative OpenShift VMware vSphere Terraform Enterprise HashiCorp Vault Packer Terragrunt CloudFormation Serverless Framework Bash SQL NoSQL

What you'll do

  • Define and deliver scalable agentic AI systems for reasoning, planning, and multi-step task orchestration.
  • Design production-grade services for tool calling, agent memory management, vector retrieval, and policy enforcement.
  • Lead architecture optimization for low latency, high throughput, GPU efficiency, and secure multi-tenant operation.
  • Drive technical strategy across teams to convert broad goals into executable plans with measurable milestones.
  • Establish AgentOps practices for tracing, monitoring, safety guardrails, and production reliability of AI systems.
  • Mentor senior engineers and raise architectural standards without direct management authority.

What we're looking for

  • 12+ years of professional software engineering experience with significant ownership of production systems.
  • Deep experience designing, building, and operating high-scale distributed systems and AI/ML platform services.
  • Hands-on experience with production AI systems, agentic AI applications, autonomous workflows, and multi-agent coordination.
  • Strong programming skills in Python and expertise with Kubernetes, Docker, cloud-native infrastructure, and observability tools.
  • Proven track record as a technical leader influencing architecture and execution across multiple teams at the Staff or Principal level.
  • Deep understanding of LLM application patterns, including prompt design, function calling, context management, and evaluation frameworks.

Market check

Salary context

This listing doesn't show a salary. Similar roles on FindRole typically pay $170,000–$258,750.

Peer median band

$170,000–$258,750

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$185,500–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 251 open roles on FindRole.

Listed pay typically runs $97,500–$199,500 across 193 roles with salary data.

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