Site engineer artificial intelligence engineer

Description

The U.S. Navy’s Service Management, Integration, and Transport (SMIT) program has an opening for a Site Reliability Automation and Orchestration Engineer on a high-visibility DoD program that provides engineering support to the Navy Marine Corps Intranet (NMCI), the largest information technology (IT) network in the world. This position will provide many opportunities to challenge and grow your skills.

The AI Reliability Engineer (AI-SRE) is responsible for integrating artificial intelligence and machine learning capabilities into Site Reliability Engineering (SRE) operations to improve system reliability, availability, performance, and operational efficiency. This role serves as a horizontal enabler across SRE pods, leveraging AI-driven insights to reduce operational toil, accelerating incident response, enhance observability, and enable predictive reliability engineering. The AI-SRE partners closely with infrastructure, network, application, cyber, and platform SRE teams to transform operational data into actionable intelligence while ensuring AI solutions are safe, explainable, auditable, and aligned with SRE principles.

Key Responsibilities

AIOps & Observability Intelligence

• Design, develop, and maintain AI/ML models for anomaly detection, trend analysis, and signal correlation across metrics, logs, traces, and events.
• Reduce alert noise through intelligent alert grouping, suppression, and prioritization.
• Enhance observability platforms with AI-generated insights supporting SLO and error-budget management.

AI-Assisted Incident Management

• Implement AI-driven incident classification, enrichment, and summarization.
• Provide probable root-cause analysis recommendations based on historical and real-time telemetry.
• Support on-call and incident response teams with AI-guided remediation suggestions.
• Contribute AI insights to post-incident reviews and reliability improvement plans.

Automation & Ops-as-Code Enablement

• Apply AI techniques to identify repetitive operational tasks and automation opportunities.
• Assist in generating, validating, and optimizing automation playbooks and workflows.
• Analyze automation execution data to improve success rates, resiliency, and reuse.

Knowledge Management & Runbook Intelligence

• Build and maintain AI-searchable knowledge repositories containing runbooks, SOPs, lessons learned, and historical incident data.
• Enable natural-language access to operational knowledge for SREs and operations staff.
• Reduce dependency on tribal knowledge through intelligent documentation and discovery.

Predictive Reliability Engineering

• Develop predictive models for capacity planning, failure forecasting, configuration risk, and reliability debt identification.
• Support proactive remediation strategies to prevent incidents before customer impact.
• Assist SRE leadership in data-driven prioritization of reliability investments.

Governance, Security & Trust

• Ensure AI solutions adhere to organizational security, compliance, and data-handling policies.
• Establish guardrails for AI recommendations, human-in-the-loop decision making, and automation execution.
• Promote transparency, explainability, and auditability of AI-driven operational decisions.

Required Qualifications

Education and Requirements:

• Bachelor’s degree in computer science, Engineering, Information Systems, Data Science, or related discipline
• 5+ years in Site Reliability Engineering, DevOps, IT Operations, or Systems Engineering
• 2+ years applying AI/ML techniques in operational, analytics, or automation contexts
• Demonstrated experience supporting production systems in high-availability environments
• Must have an active Secret Clearance in order to be considered for the position

Technical Skills

• Proficiency in data analysis tooling
• Experience with machine learning fundamentals (anomaly detection, clustering, time-series analysis, NLP)
• Familiarity with observability platforms (metrics, logs, traces, events)
• Experience with automation frameworks and infrastructure-as-code concepts
• Strong understanding of distributed systems and operational telemetry

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting

February 18, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range

Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit

Pay And Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at

Securing Your Data

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Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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