Senior Application Software Engineer at Oracle in Nashville, TN

Job description

This role will be based in NASHVILLE ONLY . Oracle Cloud Infrastructure (OCI) is seeking an experienced Senior Platform Software Engineer, AI Engineering to join the AI Platform and Productivity Engineering team. In this role, you will contribute to AI innovation by designing, developing, and delivering solutions that improve employee productivity across Oracle. You will use AI development tools to accelerate software delivery and build solutions for employee support, knowledge discovery, task automation, and collaboration. You will collaborate with engineers, product managers, technical leads, and partner teams to identify employee needs, solve business problems, and turn promising AI use cases into reliable enterprise capabilities. This role will design, develop, and maintain AI platform capabilities, including AI control plane and data plane services, Codex enablement, AI plugins and skills, GPT guidance, memory capabilities, and model routing. You will also design and develop backend services and APIs, integrate AI models with enterprise systems, and build reusable AI workflows. Working with technical leads and partner teams, you will implement testing, evaluation, and observability to ensure reliable, secure, and scalable operation. Key Responsibilities Design, develop, deliver, and maintain secure, scalable AI software solutions that improve employee productivity across Oracle. Develop AI control plane and data plane services, Codex integrations, memory capabilities, and model routing components in alignment with established architecture. Build reusable AI plugins, skills, GPT integrations, custom applications, backend services, and APIs for enterprise use cases. Use Codex and other AI development tools to accelerate implementation, testing, debugging, and documentation while maintaining engineering quality. Collaborate with technical leads, product managers, and partner teams to clarify requirements, evaluate approaches, and deliver features from prototyping through production rollout. Integrate AI models with enterprise applications, data sources, and workflows, implementing runtime and middleware patterns that support interoperability and multi-tenant scale. Participate in architecture and code reviews, apply secure coding practices, and follow API versioning, compatibility, deprecation, and safe rollout standards. Implement automated testing and AI evaluations to validate functionality, accuracy, security, reliability, and performance. Diagnose and resolve complex issues across models, plugins, backend services, and integrations; translate employee and stakeholder feedback into product improvements. Implement logging, monitoring, usage telemetry, and observability, and contribute to service-level objectives, capacity planning, resilience, and operational improvements. Develop AI cost and usage intelligence capabilities, including cost attribution, forecasting, token budgets, threshold alerts, and reporting that supports informed investment decisions. Implement model selection and usage controls that balance cost, quality, risk, and performance; optimize token consumption and context through caching, context management, and workload-specific routing. Create technical guidance, migration guides, and adoption playbooks, and share engineering practices that make AI capabilities easier to adopt and maintain. Minimum Job Qualifications Education and Experience Bachelor of Technology (B.Tech) or another bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or a related field, and at least 4 years of software development experience. 4+ years of experience designing, developing, and delivering backend services, APIs, distributed systems, developer platforms, or cloud services. 4+ years of programming experience in one or more languages such as Jav