Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Systems Architect to lead our cutting-edge research and development division.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable, real-world AI infrastructure. We are not just building software; we are architecting the future of human-machine interaction. If you are obsessed with the trajectory of AI and possess the technical prowess to make it a reality, we want to hear from you.
Why Nexus Horizon Labs?
- Work at the intersection of Generative AI and Quantum Computing.
- Competitive equity and a benefits package designed for the modern innovator.
- Flexible remote-first culture with quarterly in-person innovation summits.
Responsibilities
- Architect Next-Gen AI Systems: Design and oversee the implementation of robust, scalable AI architectures capable of supporting future AGI models.
- Define 2026 Roadmaps: Create long-term technical strategies and milestones that align with our vision for the future of technology.
- Lead High-Performance Teams: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ensure Ethical AI: Implement governance frameworks and bias-reduction strategies to ensure responsible AI deployment.
- Collaborate Across Disciplines: Partner with product managers, designers, and researchers to translate complex concepts into user-centric solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural or lead role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems. Familiarity with GPU acceleration and cloud infrastructure (AWS/GCP).
- Future-Ready Mindset: Proven ability to anticipate industry trends and adapt systems for emerging technologies (e.g., LLMs, Neural Interfaces).
- Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.