Job Description
We are seeking a visionary Lead AI Architect to define the technological landscape of 2026 and beyond. At Nexus Horizon Solutions, we are not just adapting to the future; we are building it. As we prepare for the next generation of generative intelligence, you will spearhead the development of scalable, secure, and ethical AI systems that will redefine human-machine interaction.
In this pivotal role, you will bridge the gap between theoretical quantum computing advancements and practical machine learning applications. You will lead a world-class team of engineers in architecting systems that are future-proof, ensuring our clients remain at the forefront of the digital revolution.
Why Join Us?
- Future-Forward Impact: Work on blue-chip projects that shape the roadmap for 2026 and beyond.
- Premium Compensation: Competitive base salary plus equity and performance bonuses.
- Flexible Environment: Hybrid work model from our state-of-the-art HQ in San Francisco.
If you are a technical thought leader passionate about the intersection of AI, Quantum, and Future Tech, we want to hear from you.
Responsibilities
- Design and implement the 2026 AI Infrastructure, ensuring high scalability and resilience in distributed cloud environments.
- Lead the research and integration of emerging technologies, specifically Quantum Machine Learning protocols and next-gen LLM architectures.
- Define technical vision and architecture standards for AI systems, mentoring junior architects and engineers to foster a culture of innovation.
- Collaborate with cross-functional teamsâincluding product managers, ethicists, and data scientistsâto align technical roadmaps with business goals.
- Ensure compliance with global data privacy regulations and AI ethical guidelines in all system designs.
- Optimize existing neural networks for real-time processing and edge deployment in autonomous systems.
Qualifications
- Education: Masterâs or PhD in Computer Science, Computational Neuroscience, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in specialized AI/ML architecture.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and experience with Kubernetes and Docker.
- Innovation: Proven track record of pioneering new technologies or implementing cutting-edge AI solutions in production environments.
- Leadership: Strong ability to lead diverse teams, communicate complex technical concepts to stakeholders, and drive technical decision-making.
- Future-Readiness: Demonstrated interest or experience in quantum computing, edge AI, or synthetic data generation.