Job Description
Are you ready to architect the future of technology? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our revolutionary projects leading up to and beyond 2026. We are building the next generation of autonomous systems and sentient machine learning models. If you thrive on solving complex problems at the intersection of deep learning and neural engineering, we want to hear from you.
As a Senior AI Architect, you will define the technical roadmap for our proprietary AI engines, ensuring scalability, security, and ethical alignment. You will work closely with quantum computing researchers and data scientists to bridge the gap between theoretical AI and real-world application.
Why Join Us?
• Work on projects that define the technological landscape of 2026.
• Competitive equity package and top-tier benefits.
• Flexible remote-first culture with premium office amenities in SF.
Responsibilities
- Design & Strategy: Architect scalable, fault-tolerant AI infrastructure capable of supporting enterprise-grade predictive models.
- Model Development: Lead the research and implementation of advanced deep learning architectures, including Transformers and Graph Neural Networks.
- Collaboration: Partner with cross-functional teams, including quantum engineers and hardware specialists, to integrate AI with next-gen processing units.
- Ethical AI: Establish and enforce guidelines for AI safety, bias mitigation, and transparency in algorithmic decision-making.
- Mentorship: Mentor junior architects and data scientists, fostering a culture of continuous learning and innovation.
- System Optimization: Continuously monitor system performance and optimize model latency and resource consumption.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Experience: 8+ years of experience in software engineering, with a specific focus on machine learning and AI systems architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and C++. Experience with cloud platforms (AWS/GCP/Azure) is essential.
- Domain Knowledge: Deep understanding of Large Language Models (LLMs), NLP, and computer vision.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.
- Future-Proof Mindset: A demonstrated track record of adapting to rapid technological changes and anticipating industry trends.