Job Description
Are you ready to architect the infrastructure of tomorrow? Nexus Future Tech is at the forefront of the 2026 technological revolution, building the next generation of artificial intelligence and human-machine interfaces. We are seeking a visionary Senior AI Architect to lead our core infrastructure team and define the roadmap for our flagship product.
In this high-impact role, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for designing scalable, quantum-ready AI systems that will define the landscape of the 2026 era. If you are passionate about pushing the boundaries of what is possible with Generative AI and Distributed Systems, we want to hear from you.
Why Join Us?
- Impactful Work: Directly influence the technology stack that powers the 2026 vision.
- Competitive Compensation: Top-tier salary and equity packages.
- Flexible Work: Remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Lead the architectural design and implementation of the 2026 AI infrastructure roadmap, ensuring scalability and resilience.
- Develop and optimize deep learning models for edge computing environments.
- Collaborate with cross-functional teams to integrate generative AI capabilities into consumer products.
- Establish best practices for data governance, model security, and ethical AI usage.
- Conduct rigorous performance testing and research to stay ahead of emerging 2026 trends.
- Mentor junior engineers and foster a culture of innovation within the engineering team.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Proven expertise in designing large-scale distributed systems and cloud-native applications (AWS, GCP, or Azure).
- Deep understanding of Generative AI models (LLMs, Diffusion models) and their deployment.
- Experience with quantum computing concepts and hybrid classical-quantum algorithms.
- Strong leadership skills with a track record of managing high-performance engineering teams.