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Ai Reliability Engineer Jobs in Highlands Ranch, CO

Litera

Manager, Site Reliability Engineering

Denver, CO · On-site

$58.75 - $78/hr

Every day, we Raise The Bar™️ for what's possible through AI, innovation, and solutions that ... Lead and develop a high-performing SRE team, creating a culture of ownership, collaboration ...

Litera

Manager, Site Reliability Engineering

Denver, CO · Hybrid

$120K - $160K/yr

Every day, we RaiseTheBar forwhat'spossible through AI, innovation, and solutions that power ... Lead and develop a high-performing SRE team, creating a culture of ownership, collaboration ...

Focused

Senior Platform Engineer

Denver, CO

$130K - $180K/yr

Build CI/CD pipelines with embedded observability and automated testing Site Reliability ... Experience with AI/ML model deployment and monitoring in production environments Leadership ...

New

UiPath, Inc.

Senior Software Engineer (SRE)

Denver, CO · On-site

$140 - $175/hr

Design, engineer, and build SRE platform systems and capabilities with cutting-edge AI, treating ... them as products that other engineering teams depend on in their critical path. * Participate in ...

Socket.dev

Senior Software Engineer (SRE)

Denver, CO · On-site

$140 - $190/hr

Design, engineer, and build SRE platform systems and capabilities with cutting-edge AI, treating ... them as products that other engineering teams depend on in their critical path. * Participate in ...

Fivetran

Senior R&D Software Engineer, Fivetran AI

Denver, CO · On-site

$126K - $166K/yr

Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range ... Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep ...

KrateoSky

Senior DevSecOps Engineer

Denver, CO · On-site

$111 - $170/hr

Our AI-native, digitally connected ecosystem amplifies this advantage, automating tedious work so ... Sitting within the SRE team and reporting directly to the Principal Cloud Platform Architect, you ...

Vantor

Sr. Platform Infrastructure Engineer

Westminster, CO · On-site

$114K - $155K/yr

Platform engineering and SRE practices * AI-assisted software operations and AIOps platforms * Distributed systems and mission-critical operational environments Why This Role Matters Vantor is ...

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All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Highlands Ranch, CO

Ai Reliability Engineer information

See Highlands Ranch, CO salary details

$64K

$123.8K

$148K

How much do ai reliability engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for ai reliability engineer in Highlands Ranch, CO is $123,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $135,400.00 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 Highlands Ranch, CO?

For Ai Reliability Engineer jobs in Highlands Ranch, CO, the most frequently searched job titles are:

What job categories do people searching Ai Reliability Engineer jobs in Highlands Ranch, CO look for?

The top searched job categories for Ai Reliability Engineer jobs in Highlands Ranch, CO are:

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Cities near Highlands Ranch, CO with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $123,826 per year, or $59.5 per hour.

Manager, Site Reliability Engineering

Litera

Denver, CO • On-site

$58.75 - $78/hr

Full-time

Retirement

Re-posted 12 days ago

Job description

Job Description
Ready to Help Shape the Future of Legal Tech?!
At Litera, we don't just build software, we transform how the world's top law firms operate. Every day, we Raise The Bar™️ for what's possible through AI, innovation, and solutions that power millions of legal professionals worldwide. If you're energized by scale, real impact, and meaningful challenges, you'll feel right at home here.
Where You'll Work
This is a hybrid role based in Denver, CO with the expectations to be in office at least 3 days a week for collaboration and connection.
Why this Role Matters
The Manager, Site Reliability Engineering plays a critical role in ensuring Litera's platforms remain reliable, scalable, secure, and high performing for our customers. This role helps reduce operational risk, improve service availability, and strengthen the systems that support Litera's continued growth. By leading a team of SREs and partnering closely across Engineering, Product, Security, and IT, this leader will drive meaningful improvements in platform resilience, incident response, automation, and operational excellence. The impact of this role is directly tied to customer trust, system stability, and Litera's ability to deliver dependable SaaS solutions at scale.
What You'll Deliver
  • Lead and develop a high-performing SRE team, creating a culture of ownership, collaboration, accountability, and continuous improvement.
  • Improve the reliability, availability, and performance of Litera's cloud and on-premises platforms through strong operational leadership and technical oversight.

  • Drive effective incident response practices, including major incident leadership, escalation management, root cause analysis, and post-incident improvement.

  • Establish and advance reliability metrics, including SLOs, SLIs, platform health indicators, dashboards, and reporting that improve visibility and decision-making.

  • Reduce operational toil by identifying and implementing automation opportunities across runbooks, monitoring, diagnostics, infrastructure, and support processes.

  • Partner with Engineering teams to improve application reliability, observability, scalability, and operational readiness across customer-facing systems.

  • Support platform growth through capacity planning, performance optimization, disaster recovery readiness, and cloud/infrastructure cost optimization.

  • Collaborate cross-functionally with Product, Engineering, Security, and IT to address operational risks, strengthen service delivery, and align reliability initiatives to business priorities.

We're committed to creating an inclusive environment. If you need accommodations at any point in the process or in the role, we're here to support you.
What You'll Bring
Must-Haves:
  • 6+ years of experience operating and troubleshooting distributed SaaS applications across hybrid environments, including on-premises infrastructure and Azure (preferred) or AWS cloud platforms.
  • 2+ years of SRE management experience leading teams that support multi-product platforms, including experience with resource planning, workload prioritization, team development, and scaling teams.
  • Strong leadership experience managing major incidents, serving as an escalation point, leading blameless RCAs, and driving continuous post-incident improvements.

  • Deep experience with observability, monitoring, alerting, APM tools, and reliability metrics, including SLOs, SLIs, and platform health reporting.

  • Strong technical background in infrastructure automation, configuration management, CI/CD practices, and tools such as Terraform, Ansible, or similar technologies.

  • Excellent communication, prioritization, and cross-functional collaboration skills, with the ability to align stakeholders and guide teams through complex operational challenges.

Nice to Haves:
  • Previous experience in a Site Reliability Engineering function within a SaaS organization.

  • Familiarity with ITIL, Problem Management, Change Management, Operational Excellence, or modern platform engineering practices.

  • Experience supporting highly available customer-facing platforms in a regulated, security-focused, or compliance-driven environment.

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; equivalent practical experience; or AWS/Azure professional-level cloud certifications.

We know great candidates don't always check every box. If you're excited about this role, we encourage you to apply.
What You'll Experience
  • A team that shows up. Work alongside people who collaborate, support one another, and lead with integrity.

  • Global Reach. Partner with teams around the world to solve complex challenges that matter.

  • Real opportunity for growth. Expand your impact through meaningful stretch opportunities, visibility and career development.

  • AI-driven innovation. Work at the intersection of legal technology, customer outcomes, and cutting-edge AI.

Pay Transparency for Colorado Applicants:
The annual salary range for this position is $120,000 to $160,000. Pay is based on several factors including but not limited to education, work experience, certifications, etc.
In addition to your salary, Litera offers benefits such as a comprehensive benefits package, incentive and recognition programs, and 401k contribution (all benefits are subject to eligibility requirements). This role is eligible for company bonus.
#LI-Hybrid
Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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