Principal AI Infrastructure Engineer - (Dublin, CA)

About Articul8 AI 

At Articul8 AI, we build enterprise-grade Generative AI platforms that create real-world impact. Our team is driven by technical excellence, bold innovation, and a mission to empower businesses and communities through transformative AI solutions. 
Join a company that values craftsmanship, creativity, and making a difference. 

 The Opportunity 

We’re seeking a Principal AI Infrastructure Engineer to architect, scale, and optimize the backend infrastructure powering our enterprise GenAI platform. 
In this hands-on leadership role, you’ll design distributed systems for AI/ML at scale, optimize infrastructure for large model workloads, and drive innovation at the intersection of cloud engineering and AI. 

This is a high-impact opportunity to shape the infrastructure behind next-generation GenAI products. 

 What You'll Do 

• Lead the architecture and delivery of highly scalable, cloud-native, and cloud-agnostic infrastructure supporting AI/ML workflows. 

• Design and implement backend systems optimized for GenAI workloads, including large-scale model training, tuning, and serving. 

• Partner with Product, Applied Research, and Engineering teams to influence platform direction and technical strategy. 

• Champion operational excellence in automation, security, networking, observability, and cost optimization. 

• Mentor engineers, promote best practices, and help grow a strong technical culture. 

• Participate in on-call rotation as needed to ensure platform reliability and incident management. 

Required Qualifications 

• 8+ years of experience building and operating scalable, high-performance cloud infrastructure on AWS, GCP, or Azure. 

• Expertise with Infrastructure as Code (e.g., Terraform, CloudFormation). 

• Practical experience with containerization and orchestration technologies (Docker, Kubernetes). 

• Strong background in distributed systems, network architecture, and security best practices. 

• Familiarity with service mesh (e.g., Istio, Linkerd) and API gateways (e.g., Kong, Traefik). 

• Proficiency in scripting and automation (e.g., Python, Bash). 

• Proven ability to lead technical initiatives and mentor engineers. 

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience. 

Preferred Qualifications 

• 10+ years of infrastructure engineering experience, including large-scale AI/ML or data platform deployments. 

• Master’s degree in Computer Science, Engineering, or a related technical field. 

• Experience building and optimizing infrastructure for training, fine-tuning, and deploying LLMs in production. 

• Knowledge of orchestration frameworks like Flyte, Kubeflow, or MLflow. 

• Deep understanding of SRE/DevOps principles, including automation, observability, and incident response at scale. 

• Previous experience in a high-growth startup or enterprise AI/SaaS environment. 

 Why Articul8 AI? 

• Impactful Work: Build the infrastructure backbone of enterprise-grade GenAI solutions. 

• Cutting-Edge Tech: Work with the latest AI/ML platforms, MLOps, and cloud-native technologies. 

• Growth Culture: Continuous learning, mentorship, and professional development opportunities. 

• Flexibility: Remote-first work culture with flexible hours and supportive team dynamics. 

• Inclusive Community: A team committed to creativity, diversity, accessibility, and empowerment. 

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.