Leidos · 1 day ago
Principal Responsible AI Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$131K/yr - $237K/yr
10+ years expLeidos is a high-growth organization at the center of the company's technology strategy, seeking a motivated and talented Principal Responsible AI Engineer. This role is critical for ensuring the ethical, transparent, and secure development of AI systems that power mission-critical applications.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop and implement enterprise-scale Responsible AI systems and governance frameworks, ensuring they meet the ethical, performance, and security requirements for mission-critical applications
Contribute to the architecture and implementation of a centralized 'Responsible AI Framework' to ensure compliance, manage model access, and provide a unified interface for governance and risk management
Implement and manage robust monitoring systems to track model performance, fairness, bias, and ethical compliance, and to optimize the cost-effectiveness of AI systems in production
Work closely with principal engineers, data scientists, and systems architects to translate strategic designs into hardened, production-grade solutions that embed fairness, accountability, and transparency principles
Establish and maintain robust AI governance frameworks and guardrails to ensure data integrity, filter inputs/outputs, prevent bias, mitigate deployment risks, and protect against adversarial attacks
Apply and promote software engineering best practices, including robust version control, comprehensive automated testing, and mature CI/CD processes for AI systems
Stay current with industry trends in Responsible AI, Explainability (XAI), operational AI, and MLOps to continuously evolve the team's capabilities and technical implementation
Qualification
Required
A Bachelor's degree in Computer Science, Engineering, or a related quantitative field with 12+ years of professional experience, OR a Master's degree with 10+ years of relevant experience
Demonstrated programming proficiency in Python and hands-on experience with major ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience with software engineering best practices and tools, including version control, automated testing, and CI/CD pipelines
Solid understanding of the full machine learning lifecycle, from data preparation and model training to deployment and monitoring
A strong understanding of Responsible AI principles, ethical AI practices, and techniques for bias detection and mitigation
An understanding of cybersecurity principles as they apply to AI systems, including threat modeling and vulnerability assessment
Must be a U.S. Citizen and have the ability to obtain and maintain a U.S. security clearance
Preferred
Experience working within the national security, defense, or intelligence communities
Experience with MLOps platforms such as MLflow, Kubeflow, or AWS Sagemaker
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Familiarity with Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation
Hands-on experience with a major cloud platform (AWS, Azure, or GCP)
Knowledge of AI ethics, responsible AI practices, and federal compliance standards
Deep familiarity with AI governance and security frameworks such as the NIST AI Risk Management Framework (AI RMF) and MITRE ATLAS
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
Leadership Team
James Carlini
Chief Technology Officer
Amy Smith
Senior Vice President, Government Affairs
Recent News
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2025-12-16
2025-12-16
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