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
2–3 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.