AI First Engineer - Oracle SCM Applications Suite

Cognizant Technology Solutions Corporation
Bedminster, NJ, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$74,000.0 - $105,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Software Bug Management Cloud Computing Code Generation Program Optimization Software Quality Code Review DevOps
+20 more
Groovy Oracle (Applications) Systems Development Life Cycle Regression Testing Reverse Engineering Software Engineering PL-SQL Systems Integration Test Data Strategies of Testing Apex Code GitHub Copilot Prompt Engineering Generative AI Deployment Automation Oracle Ebusiness Virtual Agents Oracle Cloud Infrastructure Code Restructuring GPT

Job description

We are seeking an AI-First Engineer with deep Oracle SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle (SDLC). This role is focused on transforming how Supply Chain applications are designed, developed, tested, deployed, and supported through AI-enabled engineering practices.

The ideal candidate is not simply an Oracle SCM developer who occasionally uses AI tools, but an engineer who consistently leverages AI technologies to improve productivity, code quality, testing efficiency, operational support, and overall software delivery outcomes.

The role will drive AI-powered development and modernization initiatives across Oracle SCM Cloud and/or Oracle EBS applications .

Candidates should be able to demonstrate and quantify measurable business outcomes achieved through AI adoption, including reduced development cycle times, improved code quality, lower testing effort, accelerated deployments, and faster issue resolution.

Key Responsibilities

AI-Fueled Software Engineering Across the SDLC

Apply AI-enabled engineering practices throughout all phases of the software lifecycle:

  1. AI-Assisted Requirements & Solution Design
  2. Leverage AI and LLM technologies to analyze business requirements, BRDs, user stories, process flows, and SCM functional specifications.
  3. Generate technical designs, impact assessments, traceability matrices, solution alternatives, and effort estimates using AI-assisted workflows.
  4. Utilize AI to accelerate fit-gap analysis and quarterly Oracle Cloud upgrade impact assessments.
  5. Apply AI-driven knowledge discovery to reduce analysis and design cycle times.
  6. AI-driven code generation and refactoring
  7. Use GitHub Copilot, Oracle Code Assist, Agentic AI frameworks, and similar tools to accelerate development across PL/SQL, Java, JavaScript, Groovy, VBCS, OIC, and APEX.
  8. Implement AI-assisted code generation, code optimization, refactoring, reverse engineering, and legacy modernization initiatives.
  9. Develop Oracle SCM customizations, integrations, extensions, reports, and automation solutions using AI-enabled development practices.
  10. Apply AI to automate integration mappings, API creation, report generation, and technical documentation.
  11. AI-assisted testing, test automation, and regression strategies
  12. Build AI-powered testing strategies covering functional, integration, regression, performance, and user acceptance testing.
  13. Utilize AI for automated test case generation, test data creation, defect identification, and test maintenance.
  14. Implement AI-enhanced regression testing frameworks to support Oracle Cloud quarterly releases.
  15. Leverage AI tools for defect triage, root cause analysis, and predictive quality insights.
  16. AI-enabled DevOps, code review, documentation generation, and operational support
  17. Integrate AI-assisted code reviews, security analysis, static code scanning, and quality gates into CI/CD pipelines.
  18. Utilize AI to generate deployment documentation, release notes, implementation guides, and operational runbooks.
  19. Apply AI-powered monitoring and analytics to assess Oracle quarterly release readiness and business impact.
  20. Support AI-driven deployment automation and environment management practices.
  21. Experience with GitHub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows
  22. GitHub Copilot
  23. Oracle Code Assist
  24. ChatGPT
  25. Claude
  26. Agentic AI frameworks
  27. OCI Generative AI
  28. Oracle SCM & Technical Expertise
  29. Strong hands-on experience with Oracle SCM Cloud and/or Oracle EBS applications

Requirements

  • Ability to quantify and communicate outcomes from AI adoption, including:

o Development cycle time reduction

o Improved code quality

o Reduced defect rates

Benefits & conditions

  • ?? Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.

Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

About the company

Cognizant is one of the world’s leading professional services companies, transforming clients’ business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com .

About Cognizant’s IoT Practice:

Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.

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