AI First Engineer - Oracle SCM Applications Suite

ob Summary

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

Responsibilities

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

1AIAssisted Requirements Solution Design

Leverage AI and LLM technologies to analyze business requirements BRDs user stories process flows and SCM functional specifications

Generate technical designs impact assessments traceability matrices solution alternatives and effort estimates using AI assisted workflows

Utilize AI to accelerate fit gap analysis and quarterly Oracle Cloud upgrade impact assessments

Apply AI driven knowledge discovery to reduce analysis and design cycle times

2AIdriven code generation and refactoring

Use GitHub Copilot Oracle Code Assist Agentic AI frameworks and similar tools to accelerate development across PLSQL Java JavaScript Groovy VBCS OIC and APEX

Implement AI assisted code generation code optimization refactoring reverse engineering and legacy modernization initiatives

Develop Oracle SCM customizations integrations extensions reports and automation solutions using AI enabled development practices

Apply AI to automate integration mappings API creation report generation and technical documentation

3AIassisted testing test automation and regression strategies

Build AI powered testing strategies covering functional integration regression performance and user acceptance testing

Utilize AI for automated test case generation test data creation defect identification and test maintenance

Implement AI enhanced regression testing frameworks to support Oracle Cloud quarterly releases

Leverage AI tools for defect triage root cause analysis and predictive quality insights

4AIenabled DevOps code review documentation generation and operational support

Integrate AI assisted code reviews security analysis static code scanning and quality gates into CICD pipelines

Utilize AI to generate deployment documentation release notes implementation guides and operational runbooks

Apply AI powered monitoring and analytics to assess Oracle quarterly release readiness and business impact

Support AI driven deployment automation and environment management practices

5Experience with GitHub Copilot Agentic AI frameworks prompt engineering RAG patterns and AI assisted developer workflows

GitHub Copilot

Oracle Code Assist

ChatGPT

Claude

Agentic AI frameworks

OCI Generative AI

6Oracle SCM Technical Expertise

Strong handson experience with Oracle SCM Cloud and or Oracle EBS applications

Business Impact Measurement

Ability to quantify and communicate outcomes from AI adoption including

Development cycle time reduction

Improved code quality

Reduced defect rates

Reduced testing effort

Faster deployment cycles

Faster incident resolution

Increased developer productivity

About Cognizant:

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.