AI-Enabled Oracle SCM/EBS Engineer

Cognizant

Atlanta (GA)

On-site

USD 92,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Health insurance

Paid holidays

Paid time off

401(k) plan

Disability insurance

Parental leave

Employee stock purchase plan

Job summary

Cognizant is seeking an AI-First Engineer with deep Oracle SCM expertise to transform how Supply Chain applications are designed, developed, tested, deployed, and supported through AI-enabled engineering practices.

The role focuses on AI-powered development across Oracle SCM Cloud and/or Oracle EBS, driving measurable business outcomes and modernizing the SDLC with AI-assisted design, coding, testing, and DevOps.”

Job description

Job 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 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

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.

2. AI-driven code generation and refactoring

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.
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.

3. AI-assisted 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.

4. AI-enabled DevOps, code review, documentation generation, and operational support

Integrate AI-assisted code reviews, security analysis, static code scanning, and quality gates into CI/CD 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.

5. Experience 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

6. Oracle SCM & Technical Expertise

Strong hands-on 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 Us

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.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future