Job Description
We are seeking a visionary Senior AI Systems Architect to lead the design and implementation of next-generation artificial intelligence infrastructure. As we look toward the future of technology in 2026, we are building a robust ecosystem that integrates advanced Machine Learning, Generative AI, and Autonomous Systems. You will be at the forefront of solving complex scalability challenges and defining the architectural standards for our AI-native platform.
Why Join Us?
- Work on cutting-edge projects that define the future of the tech industry.
- Competitive compensation package and equity opportunities.
- Collaborate with a world-class team of engineers and researchers.
- Flexible remote and hybrid work options in the heart of San Francisco.
Responsibilities
- Design and architect scalable, high-performance AI and machine learning pipelines capable of processing petabytes of data.
- Lead the migration and integration of legacy systems into modern, AI-native architectures.
- Define and enforce best practices for data governance, model deployment, and ethical AI usage.
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
- Optimize system performance and reduce latency in real-time AI inference engines.
- Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Minimum of 8 years of experience in software architecture, with at least 4 years specifically in AI/ML systems.
- Deep proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Extensive experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of distributed systems, microservices, and high-availability architecture.
- Proven track record of leading large-scale machine learning projects from conception to deployment.