Job Description
We are not merely building software for today; we are architecting the digital infrastructure of tomorrow. Quantum Horizon Solutions is seeking a visionary Principal AI Architect to lead the strategic development of next-generation generative models and autonomous systems designed to redefine the future of enterprise by the year 2026.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and practical implementation. You will be responsible for designing the architecture that will power our core products for the next decade, ensuring scalability, ethical AI integration, and unmatched performance. If you are a thought leader passionate about the trajectory of Artificial Intelligence and want to leave a lasting legacy, we want to meet you.
Why Join Us?
- Work on cutting-edge AI research applied to real-world problems.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium office amenities in the Bay Area.
- Professional development budget unlimited.
Responsibilities
- Design and implement scalable, high-performance AI architectures for large-scale data processing and generative modeling.
- Lead the technical vision for the 2026 product roadmap, identifying emerging technologies like Quantum AI and Neuromorphic computing.
- Establish and enforce best practices for code quality, security, and ethical AI usage within the engineering team.
- Mentor senior engineers and architects, fostering a culture of continuous learning and innovation.
- Collaborate with cross-functional stakeholders, including product managers and data scientists, to translate business requirements into technical solutions.
- Conduct deep-dive research on novel algorithms to optimize model efficiency and reduce latency.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; Ph.D. preferred.
- 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven track record of deploying production-grade machine learning models at scale.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.