AI Engineer - SDLC Process Improvement

United StatesOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Role summary

Pierce Technology Corp seeks an AI Engineer to enhance the Software Development Lifecycle (SDLC) by integrating AI technologies and automating processes. This role involves analyzing SDLC workflows, designing and implementing AI tools for code review, testing, deployment, and monitoring, and collaborating with engineering teams. The engineer will develop metrics to measure AI impact, drive continuous improvement using data-driven insights, and leverage A/B testing. The position requires a strong foundation in AI/ML, SDLC, Python, and experience with AI-powered tooling, process improvement, and metrics-driven evaluation.

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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