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Ai Reliability Engineer Jobs in Silver Spring, MD

Avalore, LLC

Site Reliability Engineer

Arlington, VA · On-site

$107K - $220K/yr

The Site Reliability Engineer (SRE) will ensure the reliability, performance, and scalability of ... Please send your request to hr@avalore.ai. Avalore is an Equal Opportunity Employer - We not ...

Avalore, LLC

Site Reliability Engineer

Arlington, VA · On-site

$107K - $220K/yr

The Site Reliability Engineer (SRE) will ensure the reliability, performance, and scalability of ... Please send your request to hr@avalore.ai. Avalore is an Equal Opportunity Employer - We not ...

Cisco

Site Reliability Engineer - Networking

Arlington, VA · On-site

$167K - $245K/yr

... AI-assisted engineering tools such as Codex, Claude Code, and Cursor. Preferred Qualifications ... reliability, and maintainability. Why Cisco? At Cisco, we're revolutionizing how data and ...

Cisco

Site Reliability Engineer - Networking

Ashburn, VA · On-site

$167K - $245K/yr

... AI-assisted engineering tools such as Codex, Claude Code, and Cursor. Preferred Qualifications ... reliability, and maintainability. Why Cisco? At Cisco, we're revolutionizing how data and ...

Cisco

Site Reliability Engineer - Networking

Herndon, VA · On-site

$167K - $245K/yr

... AI-assisted engineering tools such as Codex, Claude Code, and Cursor. Preferred Qualifications ... reliability, and maintainability. Why Cisco? At Cisco, we're revolutionizing how data and ...

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All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Silver Spring, MD

Ai Reliability Engineer information

See Silver Spring, MD salary details

$63.1K

$122K

$145.8K

How much do ai reliability engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai reliability engineer in Silver Spring, MD is $121,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $133,400.00 per year, depending on experience, location, and employer.

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What are popular job titles related to Ai Reliability Engineer jobs in Silver Spring, MD?

For Ai Reliability Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Ai Reliability Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Ai Reliability Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Ai Reliability Engineer jobs?

Cities near Silver Spring, MD with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you

Site Reliability Engineer

Arlington, VA • On-site

Avalore, LLC
See more jobs at Avalore, LLCexternal

$107K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

The Site Reliability Engineer (SRE) will ensure the reliability, performance, and scalability of the WDP System. This person will define and track Key Performance Indicators (KPIs) and Service Level Objectives (SLOs), identify and resolve performance bottlenecks, and perform root cause analysis on incidents to implement preventative measures and enhance system efficiency. This person will design and implement monitoring and alerting systems to provide visibility into system health and performance, develop and maintain runbooks and playbooks for operational procedures, and automate routine operational tasks to improve efficiency and reduce human error. This person will conduct capacity planning to ensure the system can handle expected loads, implement load testing to validate system performance under stress, and establish disaster recovery procedures to minimize downtime. This person will participate in on-call rotations to respond to system incidents, collaborate with development teams to improve application reliability and performance, and implement chaos engineering practices to identify weaknesses before they impact users.

Requirements

  • SECRET Security Clearance Required
  • Cloud+, GICSP, GSEC, Security+, or SSCP cerification (for Junior / Journeyman roles)
  • SecurityX / CASP+, CCNP Security, CCSP, FITSP-O, or GFACT certification (for Senior role)
  • We are actively seeking multiple levels:
    • Junior: 0 - 3 years of experience + Bachelor's Degree
    • Journeyman: 4 - 7 years of experience + Bachelor's Degree
    • Senior: 8+ years of experience + Bachelor's Degree
  • Good communication skills, self-starter mindset.
  • Professional proficiency in English is required.
  • Demonstrated proficiency in using all Microsoft Office applications.
  • Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position.

Work Environment: 

  • Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment). 
  • Ability to sit at a computer terminal for an extended period of time. 

Physical Demands: 

  • While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear. 
  • Employee is often required to sit and use their hands and fingers to operate a computer. 
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Travel: 

  • Up to 10%/ Occasional travel. 

Avalore will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to hr@avalore.ai. 

Avalore is an Equal Opportunity Employer - We not discriminate based on age, race, national or ethnic origin, gender, veterans status, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.

Benefits

Eligibility requirements apply.

  • Employer Contributions to Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA) with a generous matching program
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Employee Assistance Program
  • Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
  • Salary estimates for this job range from $107,000 - $220,000.

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