Job Description
Are you ready to architect the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI & Quantum Systems Architect to lead the development of next-generation neural architectures. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable enterprise solutions. We are not just building for tomorrow; we are defining the rules of the future.
Why Join Us?
- Work on cutting-edge projects that shape the trajectory of human-machine interaction.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a premium office in the heart of San Francisco.
- Access to state-of-the-art quantum computing resources.
We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to solve complex problems at the intersection of artificial intelligence and quantum mechanics.
Responsibilities
- Design and implement scalable agentic AI workflows that drive autonomous decision-making in 2026 environments.
- Lead the architecture of hybrid quantum-classical algorithms to optimize computational efficiency.
- Oversee the integration of Large Language Models (LLMs) into enterprise-grade systems with a focus on safety and interpretability.
- Mentor a team of junior engineers and data scientists, fostering a culture of continuous innovation.
- Collaborate with cross-functional product teams to translate futuristic concepts into viable product roadmaps.
- Ensure system reliability, security, and performance under high-load conditions.
- Stay ahead of the curve on emerging AI regulations and ethical guidelines.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related technical field with 8+ years of industry experience.
- Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps pipelines.
- Proven track record of deploying production-level AI systems at scale.
- Experience with quantum computing frameworks (e.g., Qiskit, Cirq) is a strong plus.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure), and microservices.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Passion for the ethical development of Artificial General Intelligence (AGI).