Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead the development of next-generation autonomous systems. As we gear up for the transformative year of 2026, you will define the architectural blueprint for our proprietary LLMs and predictive neural networks.
In this role, you won't just manage code; you will shape the ethical and technical foundation of how AI interacts with the digital world. Join a elite team of engineers, ethicists, and strategists based in the heart of San Francisco's tech district.
Why Join Us?
- Work on cutting-edge Generative AI technologies.
- Competitive equity and stock options.
- Flexible remote-first hybrid model.
- Opportunity to define industry standards for 2026 and beyond.
Responsibilities
- Design and implement scalable, high-performance AI infrastructure capable of supporting millions of concurrent users.
- Lead research initiatives into Large Language Models (LLMs), reinforcement learning, and multimodal AI systems.
- Establish best practices for AI safety, ethics, and explainability within the engineering department.
- Collaborate with product managers to translate complex business requirements into technical AI roadmaps.
- Mentor junior data scientists and engineers, fostering a culture of continuous innovation and technical excellence.
- Optimize model inference latency and cost-efficiency for edge deployment scenarios.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- 10+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, AWS).
- Proven track record of deploying production-grade machine learning models at scale.
- Strong understanding of transformer architectures and fine-tuning methodologies for LLMs.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.