About the role
About us: Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes. Intuitive Superpowers:
- DataOps & AI/ML
- Cloud Native, AppSecOps, DevSecOps
- Cloud Migration & Transformation
- Cloud FinOps
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
About the job: Title – DevOps Architect (AI Testing) Start date: Immediate Position Type: Full Time/ Contract Location: Remote across USA or Canada
Job Description: We are seeking a Senior DevOps Engineer to design, build, and maintain GitHub-based CI/CD pipelines that securely deploy applications to AWS. This role focuses on infrastructure automation, deployment reliability, and the integration of AI quality testing into the software delivery lifecycle.
Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. Experience with AWS, GitHub Actions, Docker, and Infrastructure as Code (CloudFormation). Proficiency in PowerShell, Bash, or Python scripting. Experience implementing CI/CD, DevSecOps, and cloud-native deployment practices. Familiarity with AI evaluation frameworks and automated LLM testing integrated into CI/CD pipelines. Strong understanding of security, monitoring, and operational best practices for cloud-native environments.
Responsibilities Design, develop, and maintain GitHub Actions CI/CD pipelines for AWS deployments. Automate infrastructure provisioning and application deployments using Infrastructure as Code. Integrate automated AI quality testing into CI/CD pipelines, including prompt evaluation, regression testing, and guardrail validation prior to deployment. Implement security scanning, policy enforcement, monitoring, and observability across the software delivery lifecycle. Collaborate with engineering teams to deliver secure, reliable, and production-ready applications.
About Intuitive.ai
Intuitive.ai | Engineering Breakthroughs
Intuitive.ai is an AI-first innovation and engineering company helping enterprises transform with confidence. We partner with global leaders who aren’t just looking to modernize, they’re ready to engineer what’s next.
From strategy to scale, our teams combine innovation, automation, and engineering to co-build future-ready platforms across data, cloud, and AI. Powered by our proprietary aiE™ framework, we connect technology to measurable business outcomes, simplifying complexity, accelerating modernization, and creating lasting enterprise value.
We’re trusted by 100+ global enterprises across financial services, healthcare, life sciences, and heavy industries to solve their hardest digital challenges. Whether it’s modernizing applications, unlocking the power of quality data, or embedding responsible AI into the enterprise core, we engineer solutions that are secure, scalable, and designed to last.
What sets us apart is how we work. We don’t outsource responsibility; we co-build with you. Our teams show up with intent, own outcomes, and deliver excellence at every stage. Elastic by design, our engineering model scales with your ambition, helping you move faster, reduce inefficiencies, and build platforms that grow stronger over time.
Our story is built on one belief: transformation should be measurable, not mythical. That’s why every engagement we take on is driven by outcomes, not output. It’s how we’ve helped some of the world’s largest enterprises move from proof-of-concept to proof-of-value to proof-of-scale.
At Intuitive.ai, we don’t just talk innovation, we engineer it. Together, we deliver breakthroughs that define the future of business.
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About the role
About us: Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes. Intuitive Superpowers:
- DataOps & AI/ML
- Cloud Native, AppSecOps, DevSecOps
- Cloud Migration & Transformation
- Cloud FinOps
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
About the job: Title – DevOps Architect (AI Testing) Start date: Immediate Position Type: Full Time/ Contract Location: Remote across USA or Canada
Job Description: We are seeking a Senior DevOps Engineer to design, build, and maintain GitHub-based CI/CD pipelines that securely deploy applications to AWS. This role focuses on infrastructure automation, deployment reliability, and the integration of AI quality testing into the software delivery lifecycle.
Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. Experience with AWS, GitHub Actions, Docker, and Infrastructure as Code (CloudFormation). Proficiency in PowerShell, Bash, or Python scripting. Experience implementing CI/CD, DevSecOps, and cloud-native deployment practices. Familiarity with AI evaluation frameworks and automated LLM testing integrated into CI/CD pipelines. Strong understanding of security, monitoring, and operational best practices for cloud-native environments.
Responsibilities Design, develop, and maintain GitHub Actions CI/CD pipelines for AWS deployments. Automate infrastructure provisioning and application deployments using Infrastructure as Code. Integrate automated AI quality testing into CI/CD pipelines, including prompt evaluation, regression testing, and guardrail validation prior to deployment. Implement security scanning, policy enforcement, monitoring, and observability across the software delivery lifecycle. Collaborate with engineering teams to deliver secure, reliable, and production-ready applications.
About Intuitive.ai
Intuitive.ai | Engineering Breakthroughs
Intuitive.ai is an AI-first innovation and engineering company helping enterprises transform with confidence. We partner with global leaders who aren’t just looking to modernize, they’re ready to engineer what’s next.
From strategy to scale, our teams combine innovation, automation, and engineering to co-build future-ready platforms across data, cloud, and AI. Powered by our proprietary aiE™ framework, we connect technology to measurable business outcomes, simplifying complexity, accelerating modernization, and creating lasting enterprise value.
We’re trusted by 100+ global enterprises across financial services, healthcare, life sciences, and heavy industries to solve their hardest digital challenges. Whether it’s modernizing applications, unlocking the power of quality data, or embedding responsible AI into the enterprise core, we engineer solutions that are secure, scalable, and designed to last.
What sets us apart is how we work. We don’t outsource responsibility; we co-build with you. Our teams show up with intent, own outcomes, and deliver excellence at every stage. Elastic by design, our engineering model scales with your ambition, helping you move faster, reduce inefficiencies, and build platforms that grow stronger over time.
Our story is built on one belief: transformation should be measurable, not mythical. That’s why every engagement we take on is driven by outcomes, not output. It’s how we’ve helped some of the world’s largest enterprises move from proof-of-concept to proof-of-value to proof-of-scale.
At Intuitive.ai, we don’t just talk innovation, we engineer it. Together, we deliver breakthroughs that define the future of business.