Job Description
Join Nexus Horizon as we architect the technological landscape for the year 2026 and beyond. We are seeking a visionary AI & Future Systems Architect to lead the charge in building scalable, intelligent infrastructures that define the next generation of digital transformation.
In this role, you won't just maintain legacy systems; you will engineer the future. You will work at the intersection of deep learning, distributed computing, and ethical AI implementation. If you are passionate about solving complex problems with code and possess a forward-thinking mindset, this is your opportunity to shape the industry standard.
Why Nexus Horizon?
- Work on cutting-edge projects that redefine human-computer interaction.
- Competitive salary and equity package reflecting your expertise.
- Flexible remote-first policy with a premium office in the heart of SF.
- Access to the latest AI research tools and hardware.
Responsibilities
- Architect and deploy scalable AI models and neural networks to support real-time, high-volume decision-making systems.
- Lead the migration of legacy infrastructure to edge-computing environments for 2026-ready performance.
- Collaborate with cross-functional teams to integrate AI-driven insights directly into core business products.
- Ensure system security, data privacy, and ethical compliance in all automated decision processes.
- Optimize deep learning pipelines to reduce latency and significantly improve inference accuracy.
- Define technical strategy for future technology adoption and mentor junior engineers.
Qualifications
- Master’s degree in Computer Science, AI, or a related technical field (PhD preferred).
- 5+ years of experience in software engineering, with at least 2 years in AI/ML architecture or system design.
- Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Experience with Natural Language Processing (NLP) and Computer Vision technologies.
- Demonstrated ability to drive technical vision and mentor junior engineers.