Job Description
Are you ready to engineer the reality of 2026? Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead the charge in next-generation artificial intelligence and autonomous systems. In this pivotal role, you won't just maintain legacy code; you will architect the neural frameworks that will define the future of enterprise intelligence.
We are building the infrastructure for the 2026 technological horizon. If you possess a deep understanding of machine learning, large language models, and scalable distributed systems, we want to hear from you. Join a team that is pushing the boundaries of what is possible in software engineering.
Why Join Us?
- Work on cutting-edge projects that redefine industry standards.
- Competitive salary and equity package.
- Flexible remote-first culture with a premium office in SF.
- Access to the latest hardware and AI research tools.
Responsibilities
- Design and implement scalable AI architectures capable of processing petabytes of real-time data streams.
- Lead the research, development, and integration of cutting-edge Generative AI models into core products.
- Optimize deep learning pipelines for low-latency inference on edge devices and cloud environments.
- Collaborate with cross-functional teams to translate complex business requirements into robust technical solutions.
- Mentor junior engineers and foster a culture of innovation, technical excellence, and continuous learning.
- Ensure the ethical, secure, and compliant deployment of AI systems across global markets.
Qualifications
- PhD or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Minimum of 5 years of experience in software engineering with a specific focus on AI/ML systems architecture.
- Strong proficiency in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade machine learning models with high availability.
- Experience with Quantum Computing principles or neural network optimization is a major plus.