Cognizant

AI First Engineer - SCM Planning

Cognizant$110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software engineering with deep expertise in supply chain management (SCM)
  • Proven track record of applying AI across the entire Software Development Lifecycle (SDLC)
  • Experience with AI-powered tools like GitHub Copilot and various programming languages (PLSQL, Java, JavaScript, Groovy)
  • Strong skills in prompt engineering and familiarity with Agentic AI frameworks
  • Ability to analyze and quantify measurable business outcomes from AI adoption

Responsibilities

  • Apply AI-enabled engineering practices throughout all phases of the software development lifecycle
  • Leverage AI technologies for analyzing business requirements and generating technical designs
  • Accelerate code generation, refactoring, and legacy modernization using AI tools
  • Implement AI-powered testing strategies, including automated test case generation and defect identification
  • Integrate AI-assisted practices into CI/CD pipelines for deployment automation and operational support

Benefits

  • Opportunity to work on cutting-edge AI technologies transforming SCM applications
  • Impactful role focused on measurable business outcomes through AI
  • Collaborative work environment fostering innovation in software development
  • Professional development opportunities related to AI and SCM expertise
  • Chance to drive significant changes in software engineering practices
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

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

Cognizant Careers

Join the vibrant team at Cognizant, a leading provider of information technology, consulting, and business process services. Cognizant is not just a company; it's a community where innovation, leadership, and diversity are valued and where every team member is encouraged to thrive.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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