AI Engineer - SDLC Process Improvement

Pierce Professional Resources; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology company is seeking an AI Engineer to enhance its software development lifecycle by integrating AI technologies. The role involves analyzing existing processes for AI-driven improvements, designing AI tools for code review and deployment, and collaborating with engineering teams. Candidates should have a strong foundation in AI/ML, experience with SDLC processes, and proficiency in Python and related frameworks. Strong communication and collaboration skills are essential for success in this transformative role.

Qualifications

• Strong foundation in AI/ML techniques and their application.
• Experience with SDLC processes and DevOps principles.
• Proficiency in relevant AI frameworks.

Responsibilities

• Analyze current SDLC processes for AI improvements.
• Design AI-powered tools for code review and testing.
• Collaborate with teams to integrate AI solutions.

Skills

AI/ML techniques application

Software engineering best practices

Communication skills

Collaboration skills

Tools

Python

PyTorch

TensorFlow

CI/CD pipelines

Job 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.

• 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.