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.
