Job Description
Are you ready to architect the future of intelligence?
Nexus Horizon Labs is at the forefront of defining the technological landscape of 2026. We are looking for a visionary Senior AI Architect to lead the development of next-generation predictive systems, autonomous agents, and ethical AI frameworks. If you thrive on solving complex problems and building scalable solutions that will define the next decade, this is your opportunity to make an impact.
In this role, you will bridge the gap between theoretical AI research and practical, high-impact engineering. You will work directly with our R&D team to deploy models that are not just smart, but adaptable and safe for the year 2026 and beyond.
Why Join Us?
- Work on cutting-edge Generative AI and Predictive Analytics.
- Competitive equity package and top-tier benefits.
- Flexible remote-first culture with hubs in San Francisco.
- Opportunity to shape industry standards for ethical AI.
Responsibilities
- System Architecture: Design and implement scalable, fault-tolerant AI infrastructure capable of handling petabyte-scale data streams.
- Model Development: Lead the deployment of proprietary Large Language Models (LLMs) and reinforcement learning agents for 2026 applications.
- Ethical Oversight: Establish and enforce rigorous ethical guidelines and safety protocols for autonomous decision-making systems.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineers to translate complex AI capabilities into user-centric products.
- Research Integration: Stay ahead of the curve by integrating emerging breakthroughs from global AI research into our core stack.
- Performance Optimization: Continuously refine model inference speeds and accuracy to ensure real-time responsiveness.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of experience in software engineering with a strong focus on AI/ML systems architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing systems (e.g., Kubernetes, AWS).
- AI Expertise: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Soft Skills: Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Future-Ready Mindset: Demonstrated ability to adapt to rapidly changing technologies and a passion for the future of tech.