Lead Artificial Intelligence (AI) Engineer
General Dynamics Information Technology1 month ago
Chantilly, VA, USAStaff+
Base Salary
$170k - $229k/yr
Responsibilities
- Develop and maintain an AI/ML strategy aligned with enterprise architecture and program objectives across six task orders.
- Assess, rationalize, and standardize AI/ML solutions, tools, common services, and approaches across the portfolio.
- Architect, guide, integrate, and deploy AI/ML capabilities including predictive analytics, NLP, recommendation engines, and intelligent automation.
- Select, optimize, tune, evaluate, monitor, retrain, and retire AI models while ensuring solutions are secure, auditable, explainable, and compliant.
- Use and coordinate adoption of GDIT accelerators including ALAMO, Coral, and SDAF.
- Define data requirements, model selection, training pipelines, and MLOps practices with task-order technical leads.
- Drive MLOps, DevSecOps, CI/CD, infrastructure as code, automated testing, observability, and rapid prototyping.
- Lead legacy-system assessments, modernization planning, and transitions to cloud-native and AI-enabled architectures.
- Support cost, schedule, performance, risk, roadmap, and decision-support activities for the PMO and customer stakeholders.
- Mentor engineering teams and collaborate with software engineers, data engineers, business analysts, UX teams, and customers on AI adoption.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent experience.
- At least 5 years of professional software engineering and/or AI/ML engineering experience.
- Production experience designing, developing, and deploying AI/ML solutions.
- Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Transformers, spaCy, and Hugging Face.
- Strong proficiency in at least one modern programming language such as Python, Java, or C#.
- Experience with AWS, Azure, or GCP and data pipelines for AI/ML workloads.
- Experience working across multi-project or portfolio environments such as IDIQ, multi-task-order, or large-scale programs.
- Familiarity with DevSecOps, CI/CD, GitLab, GitHub Actions, Jenkins, containers, and Kubernetes.
- Experience transitioning legacy applications or data systems to modern architectures.
- Strong communication, stakeholder-management, delivery-discipline, and technical leadership abilities.
- Preferred qualifications include an advanced technical degree, government or regulated-industry experience, MLOps and observability expertise, data governance and responsible AI experience, enterprise architecture familiarity, and experience leading or mentoring AI/ML teams.
- Current Top Secret SCI with Polygraph clearance and U.S. citizenship are required.
Benefits
- Medical, dental, vision, 401(k) with company match, health savings account options, disability coverage, life insurance, accident and critical illness coverage, and business travel insurance are available.
- Paid vacation, sick and personal time, holidays, parental, military, bereavement, and jury-duty leave are offered.
- Full-flex work weeks may be available where possible.
- The role is onsite in Chantilly, Virginia, with a 40-hour scheduled work week and no travel required.
Tech Stack
AWSAzureC#GitHub ActionsGoogle Cloud PlatformJavaJenkinsKubernetesPythonPyTorchscikit-learnspaCyTensorFlow
Categories
About General Dynamics Information Technology
General Dynamics Information Technology (GDIT) delivers enterprise IT, systems integration, cybersecurity, cloud, and software engineering services to U.S. federal agencies, including defense and intelligence organizations. It provides contract-based professional and managed services ranging from network operations and unified communications to training and simulation. GDIT is a business unit of General Dynamics (NYSE: GD) and is headquartered in Falls Church, Virginia.