Job Description
Are you ready to architect the future? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our strategic initiatives for the 2026 technological landscape. As we stand on the precipice of the next industrial revolution, we need a leader who can seamlessly integrate Artificial General Intelligence (AGI), Quantum Machine Learning, and Ethical AI frameworks into our core infrastructure.
In this high-impact role, you will define the architectural blueprint for our next-generation AI ecosystems. You will work closely with cross-functional teams of quantum physicists, data scientists, and software engineers to build scalable, secure, and transformative solutions. If you are passionate about shaping the trajectory of technology and want to lead a team dedicated to the 2026 vision, we want to meet you.
Why Join Us?
- Work at the intersection of cutting-edge AI and Quantum Computing.
- Shape the roadmap for the next generation of human-computer interaction.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium San Francisco office access.
Responsibilities
- Define and articulate the comprehensive technical roadmap for the 2026 era, focusing on AGI integration and autonomous systems.
- Design and oversee the architecture of large-scale distributed machine learning systems that handle petabytes of data in real-time.
- Collaborate with Quantum Computing researchers to develop hybrid algorithms that leverage both classical and quantum hardware.
- Establish best practices for AI ethics, safety, and compliance with global regulatory standards (GDPR, AI Act).
- Mentor and lead a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Conduct architectural reviews to ensure scalability, reliability, and performance optimization for future workloads.
Qualifications
- 10+ years of experience in software engineering and artificial intelligence, with at least 5 years in a senior architectural role.
- Deep expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP) with a forward-looking perspective on 2026 trends.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Kubernetes/Docker).
- Experience with quantum computing frameworks or a demonstrated passion for exploring quantum algorithms.
- Ph.D. or Master’s degree in Computer Science, Physics, or a related technical field is highly preferred.
- Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse stakeholders.