Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon Systems is pioneering the future of artificial intelligence and advanced robotics. We are looking for a visionary 2026 Future Tech AI Architect to lead our engineering division in building the next generation of autonomous systems.
In this role, you will bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. You will define the architectural standards for our upcoming projects in generative AI, quantum-assisted computing, and human-machine interfaces. If you are passionate about solving complex problems and defining the future of humanity's digital evolution, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the 2026 tech roadmap.
- Competitive equity package and performance bonuses.
- Flexible remote-first policy with a premium office in downtown SF.
- Access to the latest hardware and quantum computing resources.
Responsibilities
- Architect and design scalable, fault-tolerant AI infrastructure for next-generation applications.
- Lead the research and implementation of Large Language Models (LLMs) and generative AI solutions.
- Define technical roadmaps and ensure alignment with the company's 2026 vision.
- Mentor senior engineers and foster a culture of innovation and continuous learning.
- Collaborate with cross-functional teams to integrate AI models into consumer hardware.
- Ensure ethical AI practices and data privacy compliance in all deployments.
Qualifications
- PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 7 years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS/GCP).
- Proven track record of deploying production-level AI systems.
- Strong understanding of quantum computing principles and their application in AI.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.