Artificial Intelligence Engineer

PingWind is seeking an Artificial Intelligence Engineer to support a large Federal Government client. The role develops and deploys secure AI and machine learning solutions, applies AI capabilities to enterprise security engineering and mission workflows, and collaborates with technical and domain experts.

Responsibilities:

• Design, develop, train, test, and deploy AI/ML models and solutions
• Collect, clean, analyze, and prepare datasets for AI/ML modeling
• Identify AI-enabled automation opportunities that reduce manual effort and review cycles
• Evaluate AI/ML solutions for performance, security, reliability, and enterprise suitability
• Collaborate with data scientists, developers, cybersecurity engineers, architects, and domain experts
• Document models, testing results, risks, controls, and technical recommendations
• Apply AI/ML capabilities to enterprise security engineering, testing, and analysis

Requirements:

• Ability to obtain and maintain the required VA background investigation/suitability determination
• Certification in one or more of the following: IAT III, IAM III or IASAE III certifications
• IAT III/ IAM III / IASAE III certifications may be substituted for a relevant Bachelor's degree or 4 years of relevant experience
• Master's degree in Artificial Intelligence, Business Administration, Business Management, Cybersecurity, Computer Science, Information Systems, Information Assurance, Information Security, Information Resource Management, or related fields
• Minimum of 10 years of experience in relevant fields including IT security, data science, or software engineering, of which at least 5 years involve the design, development, or deployment of AI or machine learning systems in enterprise or Government environments
• A PhD in a related field (IT security, data science, or software engineering) may substitute for up to 5 years of the required experience
• Ability to obtain and maintain required VA background investigation/suitability and system access
• Demonstrated experience building, training, and deploying AI/ML models in production environments
• Experience applying AI solutions within large enterprise or Government environments
• Federal/VA AI experience
• MLOps and AI lifecycle experience
• Responsible AI, model governance, or AI security experience