# AI Engineer - SDLC Process Improvement

**Company:** [Pierce Technology Corp](http://jobs.workable.com/companies/uJUrQDNSFkdZC8yNjwdWW6.md)
**Location:** Remote
**Workplace:** remote
**Department:** EY

[Apply for this job](http://jobs.workable.com/view/3c6d4bf3-37bb-4de5-99d9-55604cc78634)

## 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.