Job Description
We are seeking a visionary 2026 AI Systems Architect to lead the architectural design of our next-generation autonomous systems. As we pioneer the technology stack for the year 2026, you will be responsible for ensuring our infrastructure is scalable, resilient, and capable of supporting advanced machine learning workloads. If you are passionate about the future of AI and possess a deep understanding of cloud-native technologies, this is your opportunity to shape the future of work.
Why Join Us?
- Work on cutting-edge AI infrastructure that defines the industry standard for 2026.
- Competitive compensation package with equity options.
- Flexible remote-first culture with hubs in SF and NYC.
Responsibilities
- Architect and design high-availability, scalable infrastructure for AI and Machine Learning models.
- Lead the migration strategy towards serverless and edge computing architectures.
- Implement robust security protocols and data governance frameworks.
- Collaborate with cross-functional teams to define technical requirements and roadmaps.
- Optimize system performance and reduce latency in data processing pipelines.
- Conduct code reviews and mentor junior engineers on best practices.
- Stay abreast of emerging technologies to recommend strategic improvements.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred.
- 10+ years of experience in software architecture and infrastructure engineering.
- Deep expertise in Kubernetes, Docker, and container orchestration.
- Proficiency in major cloud platforms (AWS, GCP, or Azure).
- Strong understanding of AI/ML model deployment (MLOps) and data pipelines.
- Experience with programming languages such as Python, Go, or Java.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.