About Articul8 AI

At Articul8 AI, we build enterprise-grade Generative AI platforms that drive real-world impact. We combine deep technical expertise with a mission-driven mindset to empower businesses and communities through transformative AI solutions. Join a team that prizes technical excellence, relentless innovation, and a commitment to making a difference.

The Opportunity

We’re looking for a Principal CloudOps Engineer to lead the design, development, and scaling of our next-generation AI platform infrastructure. You’ll drive architecture decisions, mentor engineers, and ensure our GenAI platform is highly scalable, reliable, and secure across cloud environments (AWS/GCP/Azure).

This is a hands-on leadership role at the intersection of CloudOps, MLOps, and GenAI innovation — perfect for someone passionate about building at scale and shaping the future of enterprise AI.

What You'll Do

• Lead architecture and delivery of cloud-native and cloud-agnostic infrastructure for our enterprise GenAI platform.
• Design, build, and optimize infrastructure to support large-scale AI/ML workloads, including LLMs and GenAI applications.
• Collaborate closely with Product, Research, and Customer Success teams on roadmap planning and technology evaluation.
• Set technical best practices for cloud infrastructure, automation, monitoring, and reliability at scale.
• Mentor and coach engineers; help grow the team’s technical culture.
• Participate in on-call rotation as needed to ensure platform reliability.
• Drive continuous improvement in security, cost optimization, and operational excellence.

Required Qualifications

• 8+ years of hands-on experience designing, building, and operating cloud infrastructure on AWS, GCP, or Azure.
• Deep understanding of the Well-Architected Framework and cloud-native best practices.
• Expertise in infrastructure-as-code (e.g., Terraform, CloudFormation, Pulumi).
• Strong background in cloud networking, security, and observability.
• Experience supporting AI/ML or data-intensive workloads in production environments.
• Proven success leading technical projects and mentoring other engineers.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• Professional Cloud Certification (e.g., AWS Solutions Architect, GCP Professional Cloud Architect, Azure Solutions Architect Expert).
• Experience building cloud-native MLOps platforms or managing large-scale AI/ML infrastructure.
• Strong background in SRE/DevOps principles with automation-first mindset.
• Previous experience in a hyper-growth startup or building enterprise-grade SaaS products.

Why Articul8 AI?

• Impactful Work: Build infrastructure for enterprise-grade GenAI products that make a real-world difference.
• Cutting-Edge Tech: Work with the latest cloud, AI, and MLOps technologies.
• Growth Culture: Continuous learning, mentorship, and professional development opportunities.
• Flexibility: Remote-first work, flexible hours, and work-life balance.
• Inclusive Community: A team committed to diversity, creativity, and making technology accessible.

In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including:

• Professional development opportunities, including training and mentorship programs.
• Flexible work arrangements, including remote work options.
• Access to the latest technologies and tools.
• Regular social events and team-building activities.
• A supportive and inclusive work environment.

If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.