AI Technology Instructor (Contract to Hire role) - (Pro-Code & No-Code Development, OpenAI Codex, API Integration, Oracle VBCS, AI Agent Development, Node-Based Workflows & Automation)
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 25, 2026. Oracle scores A on the Alion truth index.
Oracle University is seeking an experienced technical leader to design, develop, deliver, and maintain advanced hands-on learning solutions for Oracle Fusion Applications, Oracle AI Agent Studio, and enterprise AI and agentic technologies.
This Principal / IC4 individual-contributor role combines three critical capabilities: deep Oracle Fusion Applications technical expertise, hands-on AI agent and software development, and the ability to translate complex implementations into effective technical learning experiences.
You will build, integrate, test, evaluate, and troubleshoot enterprise AI solutions and transform that experience into courses, labs, code samples, demonstrations, assessments, and certification-aligned learning assets.
You will also collaborate closely with Oracle Product Development to validate implementation approaches, resolve technical challenges, and ensure training evolves alongside Oracle product capabilities and releases.
Key Responsibilities
1. Lead technical learning development: Own the end-to-end design, development, delivery, and maintenance of advanced technical learning for Oracle Fusion Applications, AI agents, agentic applications, extensibility, integrations, and enterprise AI development.
2. Develop enterprise-grade technical solutions: Build, integrate, test, troubleshoot, and document realistic Oracle Fusion and AI solutions using APIs, SDKs, developer tools, enterprise data, application services, and workflows.
3. Build and evaluate AI agents: Create, customize, integrate, evaluate, troubleshoot, and demonstrate AI agents using Oracle AI Agent Studio, including prompts, tools, workflows, enterprise data, security controls, and human oversight.
4. Create hands-on learning experiences: Develop technically rigorous courses, labs, reusable code repositories, walkthroughs, demonstrations, assessments, and certification-aligned learning using low-code and pro-code approaches.
5. Partner with Product Development: Collaborate with engineering, product management, and subject-matter experts to validate technical approaches, investigate issues, and incorporate emerging capabilities into learning solutions.
6. Apply AI-assisted development practices: Use enterprise-approved AI tools for prototyping, development, debugging, documentation, testing, evaluation, and content creation while validating outputs and following responsible AI practices.
7. Ensure technical quality and reproducibility: Maintain accurate, secure, reproducible, and maintainable code, labs, environments, dependencies, and technical guidance aligned with supported product capabilities.
8. Provide technical leadership: Establish technical standards, review complex learning assets, mentor colleagues, develop reusable technical patterns, and deliver selected workshops, demonstrations, and train-the-trainer sessions.
Qualifications & Skills
Mandatory
Education and professional experience
Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
At least 10 years of hands-on experience developing, extending, integrating, or supporting Oracle Fusion Applications.
Oracle Fusion Applications expertise
Deep understanding of Oracle Fusion application architecture, extensibility, business objects, enterprise APIs, security, integrations, and data access across at least one application area, such as ERP, HCM, SCM, CX, or industry applications.
Experience with Oracle Fusion extensibility and integration technologies, including Oracle Integration, Oracle Visual Builder, or comparable technologies.
AI agent and agentic application development
Hands-on experience with Oracle AI Agent Studio for Fusion Applications, including agent creation, customization, integration, testing, evaluation, troubleshooting, and management.
Experience developing AI-enabled and agentic applications using low-code and pro-code approaches, including custom logic, APIs, tools, integrations, workflows, and application services.
Working knowledge of LLMs, prompt design, grounding, retrieval-augmented generation (RAG), tool invocation, agent orchestration, and evaluation of AI outputs and agent behavior.
Software engineering
Strong development capability in at least one relevant programming language, such as Python, JavaScript, TypeScript, or Java.
Working knowledge of SQL and practical experience with APIs, SDKs, source control, debugging, testing, and modern development workflows.
Technical learning development
Proven ability to independently learn emerging technologies and translate complex technical implementations into courses, tutorials, hands-on labs, code walkthroughs, recorded demonstrations, and assessments.
Experience developing reusable sample repositories, lab environments, dependency documentation, and automated validation for technical learning solutions.
Product collaboration and execution
Experience working with prerelease software and collaborating with engineering or product-management teams to validate technical guidance, investigate issues, and manage changes across product releases.
Ability to work independently, communicate risks and dependencies early, and deliver against agreed scope and timelines.
Strong written technical communication, presentation, facilitation, train-the-trainer, problem-solving, and stakeholder-management skills.
Good-to-Have
PREFERRED DIFFERENTIATORS
Relevant Oracle Fusion Applications, OCI, AI, integration, or development certifications.
Familiarity with OCI AI services, Oracle Database, and technologies supporting enterprise AI solutions.
Experience using enterprise-approved generative AI tools, including ChatGPT, Codex, Oracle AI services, or comparable platforms, for development, research, debugging, documentation, and quality assurance.
Advanced prompting practices involving problem decomposition, context setting, constraints, examples, iterative refinement, and systematic evaluation.
Experience building reusable AI skills, prompts, custom instructions, agents, or automated workflows for recurring development or content-production tasks.
Experience applying AI tools across curriculum discovery, learning-objective development, content outlining, code and lab creation, scenario design, assessment development, and learner-feedback analysis.
Experience applying responsible AI practices relating to privacy, security, intellectual property, bias, traceability, compliance, and validation of AI-generated outputs.
Self-Assessment Questions
1. Do I have at least 10 years of hands-on Oracle Fusion Applications experience, including architecture, extensibility, APIs, security, and integrations?
2. Have I personally built, customized, integrated, tested, and troubleshot AI agents using Oracle AI Agent Studio for Fusion Applications?
3. Can I independently develop and debug AI-enabled applications using Python, JavaScript, TypeScript, or Java, along with SQL, APIs, SDKs, and modern development tools?
4. Have I translated complex technical implementations into reproducible hands-on labs, code samples, tutorials, demonstrations, and assessments?
5. Am I comfortable working with emerging or prerelease technologies, collaborating with product engineering teams, and delivering accurate technical learning under changing requirements?