AI SDLC Engineer: Automation & Process Improvement

Aimlroles; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Pierce Technology Corp in the United States is seeking an AI Engineer - SDLC Process Improvement to weave AI into our software development lifecycle and automate core workflows.

You will work with engineering, QA, and DevOps to design AI-powered tooling for code analysis, testing, deployment, and monitoring, and you'll measure impact with data-driven metrics.

Strong Python and AI framework experience, plus collaboration skills, are essential; CI/CD exposure is a plus.

Qualifications

• 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.

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 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.

Skills

AI/ML techniques

SDLC processes

Python

Tools

PyTorch

TensorFlow

Job description

Pierce Technology Corp in the United States is seeking an AI Engineer - SDLC Process Improvement to weave AI into our software development lifecycle and automate core workflows.

You will work with engineering, QA, and DevOps to design AI-powered tooling for code analysis, testing, deployment, and monitoring, and you'll measure impact with data-driven metrics.

Strong Python and AI framework experience, plus collaboration skills, are essential; CI/CD exposure is a plus.