Job Description
We are Nexus Horizon Technologies, a pioneer in next-generation cognitive computing. We are looking for a visionary Senior AI Architect to lead the development of our flagship '2026' predictive intelligence platform. In this role, you won't just maintain existing systems; you will architect the neural architectures that will define how machines understand and interact with human complexity in the coming decade.
Join a team of elite engineers, ethicists, and futurists dedicated to pushing the boundaries of Artificial General Intelligence (AGI). You will have the autonomy to experiment with cutting-edge architectures and the responsibility to deploy scalable, ethical, and robust AI solutions.
Why Nexus Horizon?
- Work on projects that are shaping the reality of 2026 and beyond.
- Competitive equity and stock options.
- Unlimited PTO and a remote-first culture with HQ in San Francisco.
Responsibilities
- Architect Next-Gen Neural Networks: Design and implement scalable deep learning architectures capable of processing multi-modal data streams in real-time.
- Lead Research & Development: Spearhead the integration of Large Language Models (LLMs) into autonomous agent frameworks, focusing on reasoning and context retention.
- Ethical AI Governance: Establish and enforce guidelines for AI safety, bias mitigation, and transparency within the 2026 ecosystem.
- System Optimization: Reduce inference latency and optimize model resource consumption for edge deployment in high-frequency trading and autonomous logistics.
- Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence, Deep Learning, or Cognitive Science.
- Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior leadership or architectural role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Apache Spark, Ray).
- Domain Knowledge: Deep understanding of Transformer models, Reinforcement Learning, and generative adversarial networks (GANs).
- Communication: Exceptional ability to translate complex technical concepts into strategic business value for stakeholders.