We are leading a major shift—embedding intelligent, agentic AI directly into the ERP core of the world’s largest enterprises.We are building advanced enterprise capabilities and AI-accelerated automation solutions to support the next generation of Oracle Cloud ERP applications.As we expand next-generation project management application, you will play a pivotal part in building scalable micro-services frameworks and intelligent automation layers that leverage real-time enterprise data.
What you’ll do
• Build and improve agent workflows: prompts, tools, orchestration, and multi-step reasoning patterns
• Prototype, test, and ship production agentic experiences that improve receivables outcomes
• Develop fluency in Fusion Receivables (flows, business logic, integrations) to ground solutions in real operations
• Partner with engineering, architecture, product, and UX to deliver end-to-end features
• Design for reliability and transparency: evaluation, guardrails, human-in-the-loop, and clear explanations

What we’re looking for
• 6+ years professional software engineering experience (Java/Python/SQL or similar), building scalable systems
• Some exposure to AI/ML, LLMs, or agentic frameworks (work, coursework, hackathons, or personal projects)
• Ability to break complex problems into clean solutions; strong debugging/analysis habits
• Interest in learning the business context behind decisions and workflows
• A builder mindset: curiosity, experimentation, and a bias to ship responsibly

What you’ll learn (career acceleration)
• How ERP + financial workflows operate at enterprise scale
• How to build safe, controlled agentic systems (evaluation, guardrails, HITL oversight)
• How prompts, data, and tool-use come together in production
• How to deliver innovation through cross-functional execution and customer adoption

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We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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We are building advanced enterprise capabilities and AI-accelerated automation solutions to support the next generation of Oracle Cloud ERP applications. We are looking for exceptional engineers with strong cloud-native development experience, deep technical problem-solving skills, and passion to lead Agentic and Gen AI technologies. This role requires deep technical expertise, strong ownership, and the ability to work in a fast-paced environment collaborating across global cross-functional teams. As we expand next-generation project management application, you will play a pivotal part in building scalable micro-services frameworks and intelligent automation layers that leverage real-time enterprise data. Experience working with Oracle Fusion, Oracle database,Oracle Cloud Infrastructure (OCI), and modern AI frameworks will be key to succeeding in this role.

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Career Level - IC3

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• Design, build, and enhance agent workflows, including prompts, tools, orchestration, and multi-step reasoning patterns.
• Prototype, test, and deliver production-ready agentic AI experiences to improve receivables outcomes.
• Develop deep understanding of Fusion Receivables’ flows, business logic, and integrations to ensure effective, grounded solutions.
• Collaborate with engineering, architecture, product, and UX teams to deliver end-to-end features.
• Ensure solutions are reliable, transparent, and secure by implementing robust evaluation, guardrails, and human-in-the-loop (HITL) processes.
• Break down complex business and technical challenges into scalable, safe, and maintainable solutions.
• Ensure performance, reliability, observability, telemetry, and fault-tolerant behavior in production micro-services environments.
• Participate in solution design reviews and provide expert recommendations to optimize architecture and improve system performance.
• Continuously learn and adapt to advancements in AI, LLMs, and financial systems to drive innovation and user-centric outcomes.