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Oracle Apps AI Developer- W2 Candidates Only

Shrive Technologies LLCSan Francisco, CA🇺🇸United StatesPosted Oct 20, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
San Francisco, CA, United States
Posted
20 hours ago
Stakeholder ManagementDockerOraclePL/SQLSQLGitNLPJavaLLMPythonGenerative AIRESTAzureKubernetesMachine LearningPrompt EngineeringCI/CDLangChainRAG

Job Description

Job Summary
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions. The candidate will be responsible for designing, developing, and integrating AI-powered capabilities within Oracle applications to improve business processes, automation, forecasting, analytics, and user productivity.
Key Responsibilities
  • Design, develop, and implement AI/ML solutions integrated with Oracle EBS and Oracle Fusion Applications.
  • Build intelligent automation solutions using Generative AI, Large Language Models (LLMs), and Oracle AI services.
  • Develop AI-driven chatbots, virtual assistants, and workflow automation solutions for Oracle business processes.
  • Integrate Oracle applications with AI platforms using REST APIs, Oracle Integration Cloud (OIC), and Oracle Cloud Infrastructure (OCI).
  • Develop predictive analytics, forecasting models, anomaly detection, and recommendation systems.
  • Create and optimize PL/SQL packages, APIs, Oracle Forms, Reports, BI Publisher reports, and Oracle workflows.
  • Collaborate with functional teams to understand business requirements across Finance, SCM, Procurement, HRMS, and Manufacturing modules.
  • Design data pipelines and prepare datasets for AI/ML model training and deployment.
  • Implement AI governance, security, data privacy, and compliance standards.
  • Perform application troubleshooting, performance tuning, testing, and deployment.
  • Stay updated with emerging AI technologies and recommend innovative solutions for Oracle ecosystems.
Required Technical Skills
Oracle Technologies
  • Oracle E-Business Suite (R12)
  • Oracle Fusion Applications
  • Oracle Database 12c/19c+
  • PL/SQL, SQL, Oracle Forms & Reports
  • Oracle Workflow
  • Oracle SOA Suite
  • Oracle Integration Cloud (OIC)
  • Oracle Cloud Infrastructure (OCI)
AI / ML Technologies
  • Generative AI and LLM Integration
  • Machine Learning Model Development
  • Natural Language Processing (NLP)
  • Prompt Engineering
  • Retrieval Augmented Generation (RAG)
  • Vector Databases
  • AI Agents and Agentic Workflows
Programming
  • Python
  • Java
  • REST APIs
  • JSON/XML
  • Git / DevOps Tools
Cloud & Data
  • Oracle AI Services
  • Oracle Data Science
  • Oracle Analytics Cloud
  • Azure OpenAI / OpenAI / OCI Generative AI Services
  • Data Warehousing Concepts
Functional Knowledge (Preferred)
  • Oracle Financials (GL, AP, AR, FA, CM)
  • Oracle SCM and Procurement
  • Oracle HCM
  • Oracle Projects
  • Oracle Manufacturing
Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
  • Oracle Certifications (preferred).
  • AI/ML or Cloud Certifications are highly desirable.
Preferred Experience
  • Experience implementing Generative AI use cases within Oracle ERP environments.
  • Hands-on experience with OCI Generative AI, OpenAI, Azure OpenAI, LangChain, LlamaIndex, or similar frameworks.
  • Experience building AI-powered copilots for business users.
  • Knowledge of enterprise integration patterns and cloud-native architectures.
Key Competencies
  • Strong analytical and problem-solving skills.
  • Excellent stakeholder management and communication skills.
  • Ability to work independently and in cross-functional teams.
  • Strong understanding of enterprise business processes.
  • Innovation mindset with focus on AI-driven transformation.
Nice to Have
  • Experience with Agentic AI frameworks.
  • Oracle APEX development.
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines.
  • Experience with vector databases such as Pinecone, FAISS, or Oracle AI Vector Search.

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