Artificial Intelligence Engineer

Responsibilities

• Design, develop, deploy, and maintain enterprise-scale artificial intelligence and machine learning solutions.
• Create predictive models, natural language processing applications, generative AI solutions, and advanced analytics platforms.
• Develop machine learning algorithms, model architectures, data pipelines, feature engineering processes, and model training environments.
• Support cloud-based AI deployments, model operationalization, validation, performance monitoring, and continuous improvement.
• Ensure AI solutions meet security, privacy, compliance, governance, responsible AI, and ethical AI requirements.
• Collaborate with data scientists, software engineers, cybersecurity specialists, architects, stakeholders, and government leadership.
• Evaluate emerging AI technologies and recommend solutions for complex mission and business challenges.
• Provide technical guidance, mentorship, AI strategy, and thought leadership.
• Prepare technical documentation, architecture diagrams, implementation plans, executive briefings, program reviews, and technical working group materials.

Requirements

• At least 10 years of experience in information technology security, data science, software engineering, or a related technical discipline.
• At least five years of experience designing, developing, or deploying AI or machine learning systems in enterprise or government environments.
• Demonstrated experience delivering and operationalizing AI-enabled solutions in production for large organizations or federal agencies.
• Master’s degree in artificial intelligence, business administration, business management, cybersecurity, computer science, information systems, information assurance, information security, information resource management, or a related field.
• One or more of the following certifications: IAT Level III, IAM Level III, or IASAE Level III.
• Extensive experience with data science, machine learning, artificial intelligence projects, model development, data preparation, data quality, cleansing, transformation, and feature engineering.
• Experience with AI frameworks, machine learning libraries, cloud-based AI services, model governance, security considerations, and responsible AI principles.
• Ability to complete and maintain a Tier 4 / High Risk Background Investigation.
• Strong analytical, problem-solving, collaboration, and communication skills.
• A PhD in a relevant discipline may substitute for up to five years of required experience.

Benefits

• Full-time remote position supporting Eastern Time Zone operations.
• Routine onsite support is not anticipated, though meetings may occur at the Department of Veterans Affairs Central Office in Washington, DC.
• Availability is required during federal business days and core hours of 8:00 AM to 5:00 PM Eastern Time.
• Approximately two program-related trips per year, totaling seven trips over the life of the contract.
• Opportunity to shape federal government artificial intelligence capabilities in a collaborative, mission-driven environment.