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AI Engineer - SDLC Process Improvement

Job in North Providence, Providence County, Rhode Island, 02911, USA
Listing for: Pierce Professional Resources
Full Time position
Listed on 2026-06-07
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Machine Learning/ ML Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Pierce Technology Corp is seeking an AI Engineer - SDLC Process Improvement to enhance our software development lifecycle (SDLC) by integrating cutting-edge AI technologies and automating key processes. This role focuses on leveraging AI to streamline development workflows, improve code quality, and accelerate delivery timelines across engineering teams.

Key Responsibilities:

  • Analyze current SDLC processes to identify opportunities for AI-driven improvements and automation.
  • Design and implement AI-powered tools to support code review, testing, deployment, and monitoring.
  • Collaborate with software engineering, QA, and Dev Ops teams to integrate AI solutions seamlessly into existing workflows.
  • Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on SDLC efficiency.
  • Drive continuous improvement initiatives by leveraging data-driven insights and A/B testing of AI tools within the development lifecycle.

This role requires a blend of AI engineering expertise, process analysis skills, and cross-functional collaboration to transform the way our engineering teams build and deliver software.

  • Strong foundation in AI/ML techniques and their practical application in software development and automation.
  • Experience with SDLC processes, software engineering best practices, and Dev Ops principles.
  • Proficiency in Python and relevant AI frameworks such as PyTorch or Tensor Flow.
  • Demonstrated ability to design and implement AI-powered tooling for code analysis, testing, or deployment automation.
  • Experience with process improvement methodologies and metrics-driven evaluation.
  • Excellent communication and collaboration skills to work effectively across engineering teams.
  • Bonus:
    Familiarity with CI/CD pipelines, A/B testing frameworks, and monitoring tools.
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