Software Developer, AI Engineer

Position: Software Developer 4
** Job Description*
* ** Job Description - OCI Enterprise Engineering*
* ** IC4 Principal Developer - Enterprise AI Platforms Team*
* ** Description*
* Oracle is seeking an experienced and driven  
** AI Architect / Principal Developer
** to join the  
** OCI Enterprise Engineering, Enterprise AI Platforms Team** . This team builds, integrates, deploys, and supports enterprise-grade AI platforms used across Oracle, including employee-facing generative AI experiences, agentic AI capabilities, engineering automation platforms, and secure integrations with AI providers such as OpenAI, Anthropic, OCI Generative AI, Codex-style developer assistants, and related enterprise AI services.

OCI Enterprise Engineering provides modern enterprise services to Oracle's internal businesses and is driving improved agility, performance, availability, and security across Oracle's enterprise and development environments. We seek passionate, highly motivated, engineering-first individuals who can help deliver scalable AI capabilities with strong enterprise controls, with particular emphasis on  
** Agent AI** ,  
** AI-assisted software engineering** , and  
** Harness-based engineering workflows** .

As an IC4 AI Architect, you will design and deliver platform modules, integrations, agent frameworks, developer productivity capabilities, and operational services that make AI usable, secure, measurable, and productive for Oracle employees and engineering teams. You will work across multiple delivery tracks, rapidly evaluate emerging AI capabilities, and turn practical ideas into reliable enterprise deployments that can be adopted safely at Oracle scale.

This role is especially focused on building the next generation of enterprise AI platforms: autonomous and semi-autonomous agents, AI-powered engineering assistants, Codex-like coding workflows, Harness engineering automation, secure tool execution, model orchestration, observability, governance, and production-ready deployment patterns.

** Responsibilities*
* +  
** Architecture and technical ownership:
** Independently architect, design, and drive AI platform modules, provider integrations, APIs, agent runtimes, internal tools, and engineering automation services from concept through production release.

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** Agent AI platform development:
** Design and implement enterprise-grade Agent AI capabilities, including tool-calling agents, multi-step reasoning workflows, task orchestration, memory and context management, human-in-the-loop controls, agent evaluation, and safe execution patterns.

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** Harness engineering integration:
** Build and integrate AI capabilities into Harness-based engineering workflows, including CI/CD automation, deployment intelligence, release assistance, pipeline troubleshooting, change analysis, incident support, and developer productivity enhancements.

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** Codex and AI-assisted engineering workflows:
** Evaluate, integrate, and operationalize Codex-style coding assistants and AI developer tools for Oracle engineering teams. Design secure workflows for code generation, code review assistance, test generation, documentation, refactoring, repository understanding, and engineering knowledge retrieval.

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** Enterprise AI deployment:
** Design secure, scalable deployment patterns for generative AI platforms and services such as OpenAI, Anthropic, OCI Generative AI, Codex-like engineering agents, and related enterprise AI capabilities.

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** Multi-track delivery:
** Work effectively across parallel initiatives, balance priorities, identify dependencies, and make sound technical decisions with limited supervision.

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** Rapid prototyping and evaluation:
** Explore new AI features, model APIs, agentic workflows, RAG patterns, evaluation methods, engineering automation tools, and platform changes. Build prototypes that clarify enterprise value, risk, feasibility, and implementation approach.

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** Solution design and implementation:
** Translate business, employee productivity, and engineering productivity needs into well-structured AI solutions, including backend services, orchestration flows, prompt and tool integrations, model routing, repository integrations, pipeline…