Job Description
Are you ready to define the future of Artificial Intelligence?
Quantum Horizon AI is recruiting a visionary Senior AI Architect to lead Project 2026, our most ambitious initiative to date. We are building the next generation of decentralized neural networks that will power the global economy. If you thrive in high-pressure environments and are passionate about pushing the boundaries of what is possible with LLMs and Edge Computing, this is your opportunity to shape the technological landscape of the coming decade.
Why Join Project 2026?
As a key architect, you will be working at the intersection of theoretical physics and software engineering. This is not just a job; it is a mission to engineer the digital backbone of tomorrow. We offer a competitive compensation package, equity opportunities, and the chance to work with the brightest minds in Silicon Valley.
Responsibilities
- Architectural Leadership: Define the core technical vision and system architecture for Project 2026, ensuring scalability, security, and performance across global distributed systems.
- Technical Strategy: Lead the design and implementation of proprietary AI models, focusing on optimizing inference speeds and reducing latency in real-time environments.
- Team Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- Cross-Functional Collaboration: Partner with product managers, researchers, and security experts to translate complex requirements into robust technical solutions.
- Implementation Oversight: Oversee the deployment of infrastructure on cloud platforms (AWS/GCP) and ensure adherence to best practices for CI/CD pipelines.
- Research & Development: Stay ahead of industry trends in Generative AI and Deep Learning, integrating cutting-edge advancements into our core product stack.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software architecture, with at least 3 years in a leadership role within high-scale AI or Machine Learning environments.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Problem Solving: Proven track record of solving ambiguous problems and delivering innovative solutions under tight deadlines.
- Security: Strong understanding of data privacy, encryption standards, and secure coding practices.