Leidos · 1 week ago
Principal Agentic AI Systems 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. They are seeking a motivated and talented Principal Agentic AI Systems Engineer to build the next generation of intelligent agentic systems that will power mission-critical applications.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop and deploy enterprise-scale agentic AI systems, including Multi-Agent and Agent-to-Agent (A2A) workflows, leveraging common industry standards, such as the Model Context Protocol (MCP), to create interoperable and scalable AI agents
Implement robust MCP Tools and Resources to securely expose data and functionality, enabling LLMs to interact with internal systems and APIs in a standardized way
Contribute to the architecture and implementation of a centralized "AI Gateway" to ensure platform independence, Large Language Model (LLM) agnostism, and provide a unified interface for leveraging various LLMs
Implement and manage robust observability pipelines to track trace-level data, monitor model latency, and optimize the cost and performance of Generative AI systems in production
Collaborate closely with principal engineers, data scientists, and systems architects to translate strategic designs into hardened, production-grade solutions
Implement and maintain robust AI guardrails to filter inputs and outputs, preventing data leakage (both into unsecure systems and future LLMs), prompt injection, and other 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 agentic AI, 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)
Hands-on experience implementing solutions using the Model Context Protocol (MCP) to build standardized tools and data sources for LLM applications
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 agentic AI patterns, multi-agent systems, and LLM-based workflows
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 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)
Experience working within the national security, defense, or intelligence communities
Knowledge of AI ethics, responsible AI practices, and federal compliance standards (e.g., NIST, CMMC)
Knowledge of AI security frameworks such as MITRE ATLAS, and the NIST AI Risk Management Framework (AI RMF)
Contributions to open-source AI or ML projects
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
Theodore Tanner
Chief Technology Officer
Recent News
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2025-12-16
2025-12-16
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