Oracle Cloud Infrastructure (OCI) is seeking an experienced Principal Application Software Engineer to lead the AI Platform and Productivity Engineering organization. This role will own the design and operating standards for the AI control plane and data plane, Codex enablement, plugin strategy, Skills and GPT guidance, memory strategy, model routing. The role will also own AI cost, token, and usage intelligence—including usage telemetry, cost attribution, forecasting, token budgets, threshold alerts, showback/chargeback, and model-cost optimization. By providing the data and technical patterns behind dynamic model enforcement, the role enables leaders to distinguish productive AI investment from avoidable spend while allowing teams to scale AI safely and efficiently.
Leads platform projects crossing multiple teams, evolving runtimes or middleware patterns for interoperability and multi-tenant scale. Diagnoses and resolves complex cross-service issues; enforces versioning, compatibility, and safe rollout practices. Drives observability standards, capacity planning, and resilience patterns across several workloads. Produces migration guides and adoption playbooks that raise ecosystem consistency and developer experience.
Key Responsibilities
- Designs, delivers, and operates scalable, secure software solutions by leading requirements analysis, architecture and code reviews, API integration and lifecycle strategy, complex debugging and performance optimization, and comprehensive testing, logging, monitoring, and observability practices.
- Design and development for control-plane/data-plane architecture, Codex architecture, model routing,
- Define enterprise technical guidance for plugin, Skill, GPT, custom application.
- Leads cross-team evolution of middleware and runtime standards, defining safe versioning, deprecation, and rollout practices while driving shared observability, SLO, and resilience patterns.
- Develops scalable software, systems, and services; recommends project and design scope; applies architectural standards and performance optimization; and coaches engineers while collaborating with stakeholders to align solutions with the broader technical architecture.
- Partners with stakeholders and customers to investigate and resolve complex product issues, communicate short- and long-term solutions, improve defect-handling processes, and translate customer feedback into product enhancements.
- Ensures secure, compliant, and reliable software delivery by enforcing engineering standards and peer reviews, coaching developers on best practices, implementing secure coding controls, and driving automated maintenance, patching, testing, debugging, and operational improvements.
- Define dynamic model-enforcement patterns that optimize cost, quality, risk, and performance.
- Own usage telemetry, model-cost optimization, forecasting, token budgets, threshold alerts,
- Provide the data foundation and technical recommendations that enable leadership to identify high-value AI usage, and make informed investment decisions.
- Establish token and context optimization patterns, including model selection, caching, context management, and workload-specific routing.
- Partner with engineering and product teams to ensure shared AI capabilities are secure, observable, reliable, scalable, and easy to adopt.
Minimum Job Qualifications Education and/or Experience:
- Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 7 years of experience in software development
- 5+ years of experience designing and delivering scalable distributed systems, APIs, developer platforms, or cloud services.
- 3+ years of experience with cloud platforms such as OCI, AWS, Azure, or Google Cloud.
- 3+ years of experience with programming languages such as Java, Python, JavaScript, Go
- Experience with production operations, including observability, logging, monitoring, incident response, service reliability, and performance optimization.
- Experience working across engineering, architecture, security, product, and business stakeholders to deliver shared platform capabilities.
- 4 years of experience with databases.
**Preferred Skills **
AI Skills and Experience
- Experience building, integrating, or operating AI-enabled applications, generative AI platforms, developer tools, or enterprise productivity solutions.
- Experience with LLM application patterns, including prompt design, retrieval-augmented generation, tool/function calling, agents, memory, evaluations, and model routing.
- Experience designing AI control-plane/data-plane architecture, reusable plugins, Skills, GPTs, shared services, or enterprise AI enablement platforms.
- Experience implementing AI governance, security, privacy, model-access controls, policy-driven model selection, or certification processes.
- Experience with AI cost optimization, including token and context management, usage telemetry, cost attribution, forecasting, budgeting, caching, and model-performance optimization.
- Experience defining API standards, versioning, deprecation, rollout, and interoperability strategies for platforms with multiple downstream consumers
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $99,600 to $209,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Paid 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 holidays
- Paid 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 leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4