Principal Agentic AI Systems Engineer - Careers at Leidos
Leidos
Principal Agentic AI Systems Engineer - Careers at Leidos
Job Description
Join Leidos' Chief Data & Analytics Office as Principal Agentic AI Systems Engineer
Leidos' Operational AI (Ops.AI) division seeks a Principal Agentic AI Systems Engineer for remote US telework. Power mission-critical applications with next-gen intelligent agentic systems. Hands-on role spanning design, development, deployment, optimization, and monitoring of scalable AI solutions.
Primary Responsibilities
- Build enterprise-scale agentic AI including Multi-Agent and A2A workflows using Model Context Protocol (MCP).
- Develop secure MCP Tools/Resources for LLM-API interactions.
- Design AI Gateway ensuring LLM agnosticism and unified interfaces.
- Implement observability for trace data, latency, cost/performance optimization.
- Collaborate with engineers/data scientists on production solutions.
- Deploy AI guardrails preventing leakage, injections, attacks.
- Enforce best practices: version control, testing, CI/CD.
- Track agentic AI, operational AI, MLOps trends.
Basic Qualifications
- BS Computer Science/Engineering +12yrs or MS +10yrs experience.
- Python proficiency; TensorFlow/PyTorch/Scikit-learn expertise.
- MCP implementation for LLM apps.
- Software best practices, ML lifecycle mastery.
- Agentic AI/multi-agent/LLM workflows knowledge.
- AI cybersecurity understanding.
- US Citizen, eligible for clearance.
Preferred Qualifications
- MLOps: MLflow/Kubeflow/AWS SageMaker.
- Containerization: Docker/Kubernetes.
- IaC: Terraform/CloudFormation.
- Cloud: AWS/Azure/GCP.
- National security/defense experience.
- AI ethics/NIST/CMMC/MITRE ATLAS.
- Open-source AI contributions.
Pay: $131,300-$237,350 USD. Leidos builds better futures—melt the mold and innovate with us.
Locations
- Remote/Teleworker, United States, United States (Remote)
Salary
131,300 - 237,350 USD / yearly
Estimated Salary Rangehigh confidence
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Model Context Protocol (MCP)intermediate
- TensorFlowintermediate
- PyTorchintermediate
- Scikit-learnintermediate
- MLOpsintermediate
- CI/CD Pipelinesintermediate
- Kubernetesintermediate
- Dockerintermediate
- Terraformintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- LLM Workflowsintermediate
- Multi-Agent Systemsintermediate
- AI Guardrailsintermediate
- Observabilityintermediate
Required Qualifications
- Bachelor's in Computer Science/Engineering +12 years or Master's +10 years experience (experience)
- US Citizen with ability to obtain security clearance (experience)
- Hands-on MCP implementation for LLM tools (experience)
- Full ML lifecycle expertise (experience)
- Agentic AI and multi-agent systems knowledge (experience)
- Cybersecurity principles for AI (experience)
- Software engineering best practices (experience)
Responsibilities
- Develop/deploy enterprise-scale agentic AI with MCP standards
- Implement MCP Tools/Resources for secure LLM interactions
- Architect centralized AI Gateway for LLM agnosticism
- Build observability pipelines for GenAI monitoring
- Collaborate on production-grade AI solutions
- Implement AI guardrails against attacks/data leakage
- Apply version control, testing, CI/CD for AI
- Stay current on agentic AI/MLOps trends
Benefits
- general: Remote/Teleworker flexibility across US
- general: Competitive pay $131K-$237K
- general: Comprehensive health/dental/vision insurance
- general: 401(k) matching and retirement plans
- general: Professional development and tuition reimbursement
- general: Mission-critical national security impact
- general: Collaborative high-growth team environment
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Answer 10 quick questions to check your fit for Principal Agentic AI Systems Engineer - Careers at Leidos @ Leidos.
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Principal Agentic AI Systems Engineer - Careers at Leidos
Leidos
Principal Agentic AI Systems Engineer - Careers at Leidos
Job Description
Join Leidos' Chief Data & Analytics Office as Principal Agentic AI Systems Engineer
Leidos' Operational AI (Ops.AI) division seeks a Principal Agentic AI Systems Engineer for remote US telework. Power mission-critical applications with next-gen intelligent agentic systems. Hands-on role spanning design, development, deployment, optimization, and monitoring of scalable AI solutions.
Primary Responsibilities
- Build enterprise-scale agentic AI including Multi-Agent and A2A workflows using Model Context Protocol (MCP).
- Develop secure MCP Tools/Resources for LLM-API interactions.
- Design AI Gateway ensuring LLM agnosticism and unified interfaces.
- Implement observability for trace data, latency, cost/performance optimization.
- Collaborate with engineers/data scientists on production solutions.
- Deploy AI guardrails preventing leakage, injections, attacks.
- Enforce best practices: version control, testing, CI/CD.
- Track agentic AI, operational AI, MLOps trends.
Basic Qualifications
- BS Computer Science/Engineering +12yrs or MS +10yrs experience.
- Python proficiency; TensorFlow/PyTorch/Scikit-learn expertise.
- MCP implementation for LLM apps.
- Software best practices, ML lifecycle mastery.
- Agentic AI/multi-agent/LLM workflows knowledge.
- AI cybersecurity understanding.
- US Citizen, eligible for clearance.
Preferred Qualifications
- MLOps: MLflow/Kubeflow/AWS SageMaker.
- Containerization: Docker/Kubernetes.
- IaC: Terraform/CloudFormation.
- Cloud: AWS/Azure/GCP.
- National security/defense experience.
- AI ethics/NIST/CMMC/MITRE ATLAS.
- Open-source AI contributions.
Pay: $131,300-$237,350 USD. Leidos builds better futures—melt the mold and innovate with us.
Locations
- Remote/Teleworker, United States, United States (Remote)
Salary
131,300 - 237,350 USD / yearly
Estimated Salary Rangehigh confidence
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Model Context Protocol (MCP)intermediate
- TensorFlowintermediate
- PyTorchintermediate
- Scikit-learnintermediate
- MLOpsintermediate
- CI/CD Pipelinesintermediate
- Kubernetesintermediate
- Dockerintermediate
- Terraformintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- LLM Workflowsintermediate
- Multi-Agent Systemsintermediate
- AI Guardrailsintermediate
- Observabilityintermediate
Required Qualifications
- Bachelor's in Computer Science/Engineering +12 years or Master's +10 years experience (experience)
- US Citizen with ability to obtain security clearance (experience)
- Hands-on MCP implementation for LLM tools (experience)
- Full ML lifecycle expertise (experience)
- Agentic AI and multi-agent systems knowledge (experience)
- Cybersecurity principles for AI (experience)
- Software engineering best practices (experience)
Responsibilities
- Develop/deploy enterprise-scale agentic AI with MCP standards
- Implement MCP Tools/Resources for secure LLM interactions
- Architect centralized AI Gateway for LLM agnosticism
- Build observability pipelines for GenAI monitoring
- Collaborate on production-grade AI solutions
- Implement AI guardrails against attacks/data leakage
- Apply version control, testing, CI/CD for AI
- Stay current on agentic AI/MLOps trends
Benefits
- general: Remote/Teleworker flexibility across US
- general: Competitive pay $131K-$237K
- general: Comprehensive health/dental/vision insurance
- general: 401(k) matching and retirement plans
- general: Professional development and tuition reimbursement
- general: Mission-critical national security impact
- general: Collaborative high-growth team environment
Tags & Categories
Answer 10 quick questions to check your fit for Principal Agentic AI Systems Engineer - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs