AI-First Software Engineering Lead (Oracle SCM)

Cognizant; Dallas (TX); On-site; USD 104,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays plus PTO

Employee Stock Purchase Plan

Job summary

Cognizant is hiring an AI-First Engineer focused on Oracle SCM & Supply Chain Applications. You will apply AI across the SDLC, modernize Oracle SCM apps, and drive AI-enabled development and testing practices.

This onsite role emphasizes delivering measurable business outcomes through AI-driven engineering and modernization. Responsibilities include leveraging AI tooling to accelerate design, development, and deployment, and strengthening production support with AI-powered monitoring and

Qualifications

• Hands-on experience applying AI across the full SDLC.
• Proven ability to accelerate AI-enabled software delivery and modernization.
• Experience with Oracle SCM and enterprise applications is a plus.

Responsibilities

• Apply AI technologies across the SDLC from requirements to production support.
• Lead AI-powered modernization and continuous improvement for Oracle SCM apps.
• Champion AI-enabled development practices to improve efficiency, scalability and quality.
• Utilize AI/LLMs to analyze BRDs, user stories, and design specs; generate designs and estimates.
• Develop and enhance Oracle SCM customizations, integrations, and automation using AI.

Skills

GitHub Copilot

Oracle Code Assist

ChatGPT

Claude

Agentic AI Frameworks

OCI Generative AI

Prompt Engineering

RAG Patterns

AI-Assisted Development Workflows

Tools

Oracle Visual Builder Cloud Service (VBCS)

Oracle Integration Cloud (OIC)

Oracle APEX

Job description

AI-First Engineer – Oracle SCM & Supply Chain Applications

Position Summary

We are seeking an AI-First Engineer who consistently leverages Artificial Intelligence across the entire Software Development Lifecycle (SDLC), from requirements gathering through deployment and production support. This role is focused on transforming Oracle Supply Chain Management (SCM) applications through AI-enabled engineering practices that improve delivery speed, quality, automation, and business outcomes.

The ideal candidate has demonstrated success using AI technologies to accelerate software development, optimize testing, modernize applications, automate operational processes, and improve overall engineering productivity.

Key Responsibilities

AI-Driven Software Engineering Across the SDLC

• Apply AI technologies throughout the software development lifecycle, including requirements, design, development, testing, deployment, and support.
• Drive AI-powered modernization and continuous improvement initiatives across Oracle SCM applications.
• Champion AI-enabled development practices to improve engineering efficiency, scalability, and quality.

AI-Assisted Requirements Analysis & Solution Design

• Utilize AI and Large Language Models (LLMs) to analyze business requirements, BRDs, user stories, process maps, and SCM functional specifications.
• Generate technical designs, impact assessments, effort estimates, traceability matrices, and solution alternatives using AI-enabled workflows.
• Accelerate fit-gap analysis and Oracle Cloud quarterly release impact assessments through AI-driven insights.
• Leverage AI-based knowledge discovery and analysis to reduce solution design cycle times.

AI-Powered Development & Code Modernization

• Use tools such as GitHub Copilot, Oracle Code Assist, ChatGPT, Claude, and Agentic AI frameworks to accelerate development activities.
• Implement AI-assisted code generation, optimization, refactoring, reverse engineering, and legacy modernization.
• Develop and enhance Oracle SCM customizations, integrations, extensions, reports, and automation solutions.
• Automate API development, integration mapping, report generation, and technical documentation using AI-driven approaches.
• Support development across technologies including:
  • PL/SQL
  • Java
  • JavaScript
  • Groovy
  • Oracle Visual Builder Cloud Service (VBCS)
  • Oracle Integration Cloud (OIC)
  • Oracle APEX

AI-Enabled Testing & Quality Engineering

• Design and implement AI-powered testing strategies covering:
  • Functional Testing
  • Integration Testing
  • Regression Testing
  • Performance Testing
  • User Acceptance Testing (UAT)
• Utilize AI for automated test case generation, test data creation, defect detection, and test maintenance.
• Build AI-assisted regression testing frameworks for Oracle Cloud quarterly release validation.
• Leverage AI tools for defect triage, root cause analysis, and predictive quality insights.

AI-Driven DevOps & Production Support

• Integrate AI-powered code reviews, security assessments, static code analysis, and quality gates within CI/CD pipelines.
• Generate deployment documentation, release notes, implementation guides, and operational runbooks using AI tools.
• Support deployment automation, environment management, and release readiness assessments through AI-enabled practices.
• Utilize AI-powered monitoring and analytics for operational support, issue prediction, and business impact analysis.

Required AI & Engineering Experience

Hands-on experience with:

• GitHub Copilot
• Oracle Code Assist
• ChatGPT
• Claude
• Agentic AI Frameworks
• OCI Generative AI
• Prompt Engineering
• Retrieval-Augmented Generation (RAG) Patterns
• AI-Assisted Development Workflows

Business Impact & Outcome Orientation

Candidates must demonstrate measurable outcomes from AI adoption, including:

• Reduced software development cycle times
• Improved code quality and maintainability
• Lower defect leakage and production issues
• Reduced testing effort through automation
• Faster deployment and release cycles
• Accelerated incident identification and resolution
• Increased developer productivity and engineering efficiency
• Improved operational stability and business responsiveness

Preferred Candidate Profile

• AI-first mindset with proven experience applying AI across the full SDLC.
• Strong Oracle SCM domain knowledge and enterprise application development experience.
• Ability to quantify business value delivered through AI-enabled engineering practices.
• Experience driving modernization, automation, and productivity improvements in large-scale enterprise environments.

• 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*

• Applications will be accepted until October 13th , 2026
• LI#- #LI-SC6

• Compensation & Benefits

• $104,000– $150,000 per year + Cost of Living Allowance

• Bonus + Comprehensive Benefits

• Additional Information

• Onsite role
• 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