Job Description
Are you ready to define the technological landscape of 2026?
Nexus Horizon is seeking a visionary Future Tech Architect to lead our research and development initiatives. In this pivotal role, you will bridge the gap between theoretical AI capabilities and practical, scalable engineering solutions. We are building the infrastructure for tomorrow, and we need a leader who can see beyond the horizon.
Why Join Us?
- Work on cutting-edge projects that will shape the next decade of technology.
- Competitive compensation package with performance bonuses.
- Flexible remote-first culture with access to top-tier facilities in San Francisco.
If you are passionate about Generative AI, Quantum Computing, and Autonomous Systems, we want to hear from you.
Responsibilities
- Architect 2026 Roadmap: Define and execute the technical vision for the next 3-5 years, ensuring scalability and future-proofing.
- AI System Design: Design complex, large-scale distributed systems for advanced machine learning models and agentic AI workflows.
- R&D Leadership: Spearhead research initiatives into emerging technologies, including Neuromorphic computing and edge AI.
- Technical Mentorship: Lead a team of senior engineers and researchers, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Partner with product managers, designers, and business stakeholders to translate technical requirements into business value.
- Security & Compliance: Ensure all architectural designs adhere to the highest standards of data security and privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
- Experience: 10+ years of experience in software engineering, with at least 5 years in a leadership or architect role within a high-tech environment.
- Tech Stack: Deep expertise in Python, Rust, and modern cloud infrastructure (AWS, GCP, or Azure).
- AI Expertise: Proven track record of implementing Large Language Models (LLMs) or reinforcement learning systems.
- Innovation Mindset: Demonstrated ability to identify emerging trends and integrate them into product development cycles.
- Communication: Exceptional verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences.