Job Description
The Future is Now. Nexus Horizon is leading the charge on Project 2026, an ambitious initiative to redefine the boundaries of autonomous intelligence and scalable cloud infrastructure. We are looking for a visionary Lead AI Architect to spearhead the technical execution of our flagship product roadmap.
In this role, you will not just write code; you will architect the neural pathways of tomorrow. You will collaborate with world-class researchers and engineers to deploy next-generation Large Language Models (LLMs) and edge computing solutions. If you are passionate about solving complex problems at scale and want to leave a legacy in the tech landscape, we want to meet you.
Why Join Us?
- Work on cutting-edge AI infrastructure that powers the next generation of enterprise solutions.
- Competitive equity package and top-tier health benefits.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Lead the architectural design and implementation of Project 2026 systems, ensuring high availability and scalability.
- Define the technical vision and best practices for AI/ML engineering within the organization.
- Mentor and grow a high-performing engineering team, fostering a culture of innovation and continuous learning.
- Collaborate with product managers and data scientists to translate complex requirements into robust technical solutions.
- Oversee the full software development lifecycle (SDLC), from prototyping to production deployment.
- Conduct rigorous code reviews and technical architecture assessments to maintain code quality.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a leadership or architectural role.
- Deep expertise in Python, PyTorch, TensorFlow, or similar ML frameworks.
- Strong background in distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Proven track record of deploying scalable AI models to production environments.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field is preferred.