Job Description
We are looking for a visionary Future Tech AI Architect to join our elite engineering team in San Francisco. As we look toward the technological horizon of 2026 and beyond, your role will be pivotal in architecting the next generation of scalable, efficient, and secure artificial intelligence systems.
At Nexus Future Systems, we are not just building software; we are defining the future. You will work on projects that push the boundaries of what is possible with Machine Learning, Neural Networks, and Quantum-ready algorithms.
Why Join Us?
- Work on cutting-edge projects that will shape the industry in 2026 and beyond.
- Competitive salary and comprehensive benefits package.
- Flexible remote-first culture with a collaborative hub in SF.
Responsibilities
- Architect and deploy scalable machine learning pipelines capable of handling petabyte-scale data streams.
- Optimize model inference and training efficiency using advanced distributed computing techniques.
- Design robust infrastructure that integrates seamlessly with legacy systems and next-gen hardware.
- Establish best practices for data governance, security, and ethical AI deployment.
- Mentor junior engineers and conduct technical research on emerging AI paradigms (e.g., Neuro-symbolic AI).
Qualifications
- Master’s degree in Computer Science, Data Science, or a related technical field.
- 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong background in distributed systems, high-availability architecture, and system design.