Job Description
Are you ready to architect the infrastructure of tomorrow? Nexus Horizon is seeking a visionary Senior AI Systems Architect to define the technological roadmap for 2026 and beyond. You will bridge the gap between cutting-edge AI research and scalable production systems, ensuring our platforms remain at the forefront of innovation.
In this pivotal role, you will lead the technical strategy for our next-generation AI ecosystem, working with a world-class team to solve complex challenges in scalability, latency, and intelligence integration. If you are passionate about the future of technology and possess the skills to build systems that will define the decade, we want to hear from you.
Why Join Nexus Horizon?
- Work on projects that define the future of Artificial General Intelligence.
- Competitive compensation and equity packages.
- Flexible remote-first policy with a premium office in the heart of San Francisco.
- Access to state-of-the-art hardware and research resources.
Responsibilities
- Architect and deploy scalable neural network infrastructure capable of handling petabyte-scale data streams in real-time.
- Lead the strategic technical transition towards quantum-ready cloud environments and hybrid computing models.
- Collaborate with cross-functional teams to integrate generative AI models into core product workflows seamlessly.
- Drive technical decision-making regarding latency optimization, edge computing, and distributed systems.
- Establish industry-leading best practices for security, data privacy, and ethical AI implementation.
- Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
Qualifications
- 10+ years of experience in software engineering and systems architecture, with at least 5 years specifically in AI/ML infrastructure.
- Proven expertise in Python, C++, and frameworks such as TensorFlow, PyTorch, and JAX.
- Deep understanding of Kubernetes, Docker, and serverless architectures.
- Experience with next-gen hardware acceleration (TPU/GPU clusters) and cloud providers (AWS/GCP/Azure).
- Strong leadership skills and a track record of mentoring high-performing engineering teams.
- BS/MS in Computer Science, Engineering, or a related technical field.