AI Engineer Level II

Position: AI Engineer Level II
Interview Process: Manager will coordinate directly with the candidate; 1 hr technical interview
Location: Remote | SPS Headquarters Facility, 475 L'Enfant Plaza SW, Washington, DC 20260
Duration: 1 year
Clearance: Public Trust of any kind.
MEANINGFUL WORK AND YOUR PERSONAL IMPACT

• Collaborate with Requirements and Test Automation teams to identify high impact use cases for generative AI, machine learning, and automation.
• Ensure all AI solutions function effectively within US Government Client technical environments, including postal laptops.
• Develop and maintain AI scripts and programs and create the documentation and training materials needed to support team adoption.
• Mentor team members on effective AI utilization and best practices.
• Use AI to transform business user stories into technical requirements.
• Integrate AI capabilities with the existing test automation framework to generate test scripts and enhance automation workflows.
• Design and implement prototypes, pilot solutions, and automated tools using technologies such as Visual Studio, Python, and generative AI.
• Provide guidance, standards, and best practices to help teams incorporate AI into daily operations.
• Recommend AI driven solutions aligned with business needs and provide actionable insights.
• Document process changes using approved standards and methods to ensure consistent, high quality deliverables.
• Ensure all AI scripts and programs are fully executable on postal laptops.
• Integrate automated solutions with existing software systems and databases.
• Provide technical oversight and review work performed by team members.
• Perform additional responsibilities as assigned.

WHAT YOU'LL NEED TO SUCCEED
Education

• Bachelor's degree in a relevant field preferred.

Required Experience

• 23 years of specialized AI development experience in technology or software development.
• Minimum of 8 years' experience in IT
• Expertise developing solutions using Visual Studio Code, Python, Selenium, Databricks, Copilot, and related tools to leverage generative AI and large language models (LLMs).
• Ability to develop AI driven tools or programs that generate technical requirements based on business user stories.
• Experience integrating Python based test automation frameworks with AI capabilities.
• Candidates invited for interviews must present working samples.