Leidos Transportation Solutions Business is seeking an AI and Innovation Lead to spearhead the identification, evaluation, and integration of cutting-edge AI/ML tools, processes, and technologies across the entire Software Development Lifecycle (SDLC) to drive transformative change and enhance efficiency, quality, and productivity.
Requirements
- Strong background in the full software development lifecycle, including systems engineering, software development, integration, and testing.
- Demonstrated ability to identify and integrate AI/ML tools into business processes, particularly in the software development and testing domains.
- Experience with AI/ML frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, scikit-learn, etc.) as well as integration into enterprise software environments.
- Strong understanding of machine learning algorithms, deep learning, natural language processing (NLP), and data analytics.
- Familiarity with DevOps, CI/CD pipelines, and automation in software engineering.
- Proficiency in programming languages such as Python, R, Java, or similar.
- Experience with multiple software development methodologies and how AI can be applied to these frameworks.
Responsibilities
- Lead the identification, evaluation and integration of emerging AI/ML tools, methodologies, and processes applicable to the SDLC into use on both existing and future opportunity projects
- Propose and design innovative AI/ML solutions that streamline workflows, improve quality, reduce errors, and increase efficiency throughout the software development lifecycle.
- Develop strategies for incorporating AI-driven automation and intelligence into core software engineering processes (e.g., requirement analysis, coding, testing, deployment).
- Lead the transition of identified AI/ML technologies, tools, and best practices into the organization’s workflows.
- Leverage data insights to refine and optimize integration and testing procedures, ensuring high-quality software delivery.
- Measure and track the impact of AI/ML implementations to demonstrate measurable improvements in efficiency, cost savings, and quality.
- Act as the subject matter expert (SME) on AI/ML technologies and their applications within the organization.
Other
- Master’s degree or higher in computer science, Engineering, Artificial Intelligence, Data Science or related field from an accredited college or university and 10+ years of direct work experience. Other level of degrees may be considered based on related experience.
- US Citizenship with ability to attain a Public Trust security clearance.
- Strong problem-solving skills with the ability to communicate complex AI concepts in clear, accessible language.
- Proven leadership skills and ability to collaborate with diverse teams across multiple departments and geographic locations.
- Ability to lead the change management process and foster a culture of innovation and continuous improvement.
