Cognizant logo

AI First Engineer – SCM Planning

Cognizant

Dallas, TXJobSeen 2w agoSeen in employer's feed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
No compensation found
Location
Dallas, TX
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The AI First Engineer will apply AI technologies across the software development lifecycle to improve productivity, code quality, testing efficiency, and operational support for supply chain planning applications.

Skills & qualifications

RequiredNice to have

Skills

Artificial IntelligenceLarge Language ModelsGitHub CopilotChatGPTClaudeAgentic AI FrameworksOCI Generative AIPL/SQLJavaJavaScriptGroovyVBCSOICAPEXAPI DevelopmentCI/CD PipelinesPrompt EngineeringRAG PatternsSupply Chain Planning

Full job description

Job Summary

We are seeking an AI First Engineer with deep 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

Responsibilities

We are seeking an AIFirst Engineer with deep 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 AIenabled engineering practices

The ideal candidate is not simply a 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 AIpowered development and modernization initiatives with an SCM background particularly in planning

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

AIFueled Software Engineering Across the SDLC

Apply AIenabled engineering practices throughout all phases of the software lifecycle

1 AIAssisted 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 AIassisted workflows

Utilize AI to accelerate fitgap analysis and quarterly upgrade impact assessments

Apply AIdriven knowledge discovery to reduce analysis and design cycle times

2 AIdriven code generation and refactoring

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

Implement AIassisted code generation code optimization refactoring reverse engineering and legacy modernization initiatives

Develop SCM customizations integrations extensions reports and automation solutions using AIenabled development practices

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

3 AIassisted testing test automation and regression strategies

Build AIpowered 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 AIenhanced regression testing frameworks

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

4 AIenabled DevOps code review documentation generation and operational support

Integrate AIassisted 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

Support AIdriven deployment automation and environment management practices

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

GitHub Copilot

ChatGPT

Claude

Agentic AI frameworks

OCI Generative AI

Business Impact Measurement

Ability to quantify and communicate outcomes from AI adoption including

o Development cycle time reduction

o Improved code quality

o Reduced defect rates

o Reduced testing effort

o Faster deployment cycles

o Faster incident resolution

o Increased developer productivity

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.