Job Description
QuantumLeap Systems is at the forefront of the 2026 Horizon initiative, a revolutionary project aimed at defining the technological landscape of the next decade. We are seeking a visionary 2026 Horizon AI Architect to lead our research and development in generative AI and autonomous systems.
In this role, you will not just build software; you will architect the future. You will collaborate with cross-functional teams to push the boundaries of what is possible in 2026 and beyond, ensuring our solutions are scalable, secure, and transformative.
Why join the 2026 Horizon team?
- Work on cutting-edge technology that will define the industry standard for the next five years.
- Competitive compensation package including equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to state-of-the-art computing resources and research tools.
Responsibilities
- Design and implement the core architecture for the 2026 Horizon AI ecosystem, ensuring high availability and scalability.
- Lead the integration of large language models (LLMs) and neural networks into production-grade applications.
- Define technical standards and best practices for the 2026 initiative to ensure consistency across teams.
- Mentor junior engineers and architects, fostering a culture of continuous learning and innovation.
- Conduct rigorous code reviews and performance testing to guarantee system reliability.
- Collaborate with product managers to translate complex AI concepts into user-friendly features.
- Stay ahead of the curve by researching emerging technologies relevant to the 2026 roadmap.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software architecture, with a focus on AI/ML systems.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Proven track record of leading large-scale technical projects from conception to deployment.
- Strong understanding of machine learning algorithms, data structures, and distributed systems.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience with Agile/Scrum methodologies and CI/CD pipelines.