Job Description
Are you ready to define the technological landscape of 2026 and beyond? Quantum Nexus Labs is seeking a visionary Senior AI & Future Tech Architect to spearhead the development of next-generation intelligent systems. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production infrastructure, focusing on the convergence of Generative AI, Spatial Computing, and Edge Intelligence.
We are building the future. If you thrive in ambiguity and have a passion for solving complex problems at the intersection of human intelligence and machine capability, we want to meet you.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, cloud-native architectures for Large Language Models (LLMs) and autonomous agents capable of reasoning and decision-making.
- Pioneer Spatial Computing Solutions: Lead the integration of AR/VR technologies into our software ecosystem, creating immersive user experiences that merge digital and physical realities.
- Drive Quantum-Ready Development: Evaluate and implement early-stage quantum algorithms for optimization problems and cryptography, ensuring our systems are future-proof.
- Optimize Edge Intelligence: Develop lightweight, on-device machine learning models that process data locally for privacy and speed, reducing latency in real-time applications.
- Establish AI Governance: Create frameworks for ethical AI usage, ensuring transparency, fairness, and compliance with emerging global regulations.
- Technical Leadership: Mentor a diverse team of engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- Experience: Minimum of 7+ years of experience in software engineering, with at least 3 years in a senior architectural or leadership role.
- Technical Stack: Deep proficiency in Python, C++, and Rust; extensive experience with TensorFlow, PyTorch, or JAX.
- Cloud Expertise: Proven track record of deploying and managing large-scale AI workloads on AWS, Google Cloud Platform (GCP), or Azure.
- Emerging Tech: Strong understanding of neural architecture search, federated learning, and computer vision techniques.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.