Pierce Technology

AI Engineer - SDLC Process Improvement - SDLC Process Improvement

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

A strong foundation in artificial intelligence and machine learning techniques and their practical application in software development and automation.
Experience with software development lifecycle processes, software engineering best practices, and DevOps principles.
Proficiency in Python and relevant artificial intelligence frameworks such as PyTorch or TensorFlow.
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.
Ability to work effectively across engineering teams through communication and collaboration.

Responsibilities

Analyze current software development lifecycle 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, quality assurance, and DevOps teams to integrate AI solutions into existing workflows.
Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on software development lifecycle efficiency.
Drive continuous improvement initiatives using data-driven insights and A/B testing of AI tools within the development lifecycle.

Desired Qualifications

Familiarity with continuous integration and continuous delivery pipelines, A/B testing frameworks, and monitoring tools.

AI Engineer - SDLC Process Improvement

Pierce Technology Corp · United States (Remote) · — · Posted 2026-03-23

Workplace: remote

Department: EY

Description

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 DevOps 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.

Requirements

Strong foundation in AI/ML techniques and their practical application in software development and automation.
Experience with SDLC processes, software engineering best practices, and DevOps principles.
Proficiency in Python and relevant AI frameworks such as PyTorch or TensorFlow.
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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About the Company

Pierce Technology

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
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