Remote Principal AI Engineer - Cloud Infrastructure

Our client, a global leader in AI and Emerging Technologies, is actively seeking a highly experienced and visionary Remote Principal AI Engineer to spearhead the development and optimization of our cloud-based AI infrastructure. This is a fully remote position, offering unparalleled flexibility and the opportunity to make a significant impact from anywhere. You will be responsible for architecting, building, and scaling robust, high-performance AI platforms that support our cutting‑edge research and product development initiatives.

The ideal candidate possesses a deep understanding of cloud computing, distributed systems, and the nuances of deploying large‑scale machine learning models. Join us in driving the future of AI with a company that values innovation, collaboration, and empowers its employees to thrive in a remote‑first environment.

• Architect and implement scalable, reliable, and cost‑effective cloud infrastructure for AI/ML workloads across major cloud providers (AWS, Azure, GCP).
• Design and build robust MLOps pipelines for automated model training, deployment, monitoring, and management.
• Develop and maintain distributed training frameworks and infrastructure to accelerate the development of large‑scale AI models.
• Optimize AI model performance and resource utilization within cloud environments.
• Lead the technical direction for AI infrastructure, setting standards and best practices for the engineering team.
• Collaborate with AI researchers and data scientists to understand their infrastructure needs and provide solutions.
• Troubleshoot and resolve complex infrastructure issues, ensuring high availability and low latency.
• Mentor and guide junior engineers, fostering a culture of technical excellence and continuous improvement in a remote setting.
• Stay current with emerging cloud technologies and AI infrastructure trends, evaluating and recommending new tools and platforms.

• Master's or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 10+ years of experience in software engineering, with at least 5 years focused on building and managing large‑scale cloud infrastructure, specifically for AI/ML.
• Deep expertise in at least one major cloud platform (AWS, Azure, GCP) and associated services for compute, storage, networking, and ML.
• Proficiency in infrastructure‑as‑code tools such as Terraform or Cloud Formation.
• Strong experience with containerization technologies (Docker, Kubernetes).
• Experience with CI/CD pipelines and related tools (Jenkins, Git Lab CI, etc.).
• Solid understanding of machine learning workflows and MLOps principles.
• Excellent programming skills in languages such as Python, Go, or Java.
• Proven ability to lead technical initiatives and mentor other engineers in a remote capacity.
• Exceptional problem‑solving skills and the ability to work autonomously.

• This fully remote role offers a highly competitive salary, comprehensive health benefits (medical, dental, vision), and a generous retirement savings plan.
• We provide a flexible work environment, encouraging work‑life balance.
• Employees receive an annual professional development budget for conferences, training, and certifications.
• We also offer a home office stipend to ensure you have a productive and comfortable workspace.
• Performance bonuses are awarded based on individual and company achievements.
• Join our distributed team and contribute to groundbreaking AI advancements from the comfort of your own home, regardless of your location.
• This role offers significant opportunities for career advancement and impact.