Job Description
Are you ready to architect the future? Nexus Horizon AI is seeking a visionary Senior 2026 Systems Architect to lead our next-generation infrastructure initiatives. In this pivotal role, you will define the architectural blueprints for our cutting-edge AI and quantum computing platforms, ensuring scalability, security, and performance in a rapidly evolving digital landscape.
We are not just building for today; we are engineering for 2026 and beyond. You will collaborate with elite researchers and engineers to deploy robust solutions that push the boundaries of technology. Join a culture that rewards innovation, strategic thinking, and excellence.
Why join Nexus Horizon AI?
- Work on projects that define the trajectory of Artificial General Intelligence.
- Competitive compensation package including equity and health benefits.
- Flexible remote-first culture with a focus on work-life integration.
- Access to state-of-the-art hardware and research facilities.
Responsibilities
- Design and implement high-availability, scalable system architectures for AI-driven applications.
- Lead the technical strategy for integrating emerging technologies such as quantum computing and edge AI.
- Conduct code reviews and architectural assessments to ensure code quality and adherence to best practices.
- Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
- Collaborate with product management and data science teams to translate business requirements into technical specifications.
- Ensure system security, compliance, and data integrity across all deployed environments.
- Optimize system performance and latency to support real-time data processing.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years in a senior leadership role.
- Strong proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Deep understanding of distributed systems, microservices, and event-driven architecture.
- Experience with high-performance computing and AI infrastructure (e.g., PyTorch, TensorFlow, GPU clusters).
- Proven track record of leading cross-functional teams through complex technical challenges.
- Excellent problem-solving skills with the ability to communicate complex technical concepts to non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.