AI Engineer - SDLC Process Improvement

RemoteAll Data Scientist jobs (1255)collected Oct 10, 2026

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Pierce Technology Corp is looking for an AI Engineer focused on improving the software development lifecycle (SDLC) through the integration of AI technologies. The role involves analyzing existing SDLC processes to identify areas for automation and enhancement, as well as designing and implementing AI-driven tools for code review, testing, deployment, and monitoring. Collaboration with software engineering, QA, and DevOps teams is essential to ensure seamless integration of AI solutions into current workflows. Candidates should have a strong foundation in AI and machine learning techniques, along with experience in SDLC processes and software engineering best practices. Proficiency in Python and familiarity with AI frameworks like PyTorch or TensorFlow are required. The position also calls for skills in process improvement methodologies and metrics-driven evaluation. Excellent communication and collaboration abilities are necessary for effective teamwork across engineering departments. This remote role is ideal for individuals who thrive in a cross-functional environment and are passionate about leveraging AI to enhance software development processes.

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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