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.

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.