Job Description
Join the Architects of Tomorrow.
Nexus Future Labs is pioneering the next generation of artificial intelligence, targeting the transformative capabilities of 2026. We are seeking a visionary Lead AI Architect to spearhead our research and development efforts, bridging the gap between theoretical quantum computing and practical machine learning applications.
As a key member of our elite R&D division, you will define the architectural standards for our proprietary AI models, ensuring scalability, security, and unprecedented performance. If you are passionate about solving the world's most complex problems and building the technology that will define the future, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the future of technology.
- Competitive equity package and benefits.
- Flexible remote-first policy with a hub in San Francisco.
Ready to shape the future? Apply today.
Responsibilities
- Strategic Leadership: Define the long-term technical roadmap for AI and Machine Learning initiatives, aligning them with the company's vision for 2026 and beyond.
- System Design: Design and architect robust, scalable AI systems capable of processing massive datasets in real-time environments.
- R&D Oversight: Lead a team of brilliant engineers and data scientists in exploring novel algorithms and emerging technologies such as Neural Architecture Search (NAS) and Federated Learning.
- Collaboration: Partner with cross-functional teams, including product management, quantum computing researchers, and security experts, to integrate AI solutions seamlessly.
- Performance Optimization: Continuously monitor, evaluate, and optimize existing models to ensure maximum accuracy and efficiency.
- Talent Development: Mentor junior engineers and foster a culture of innovation, technical excellence, and continuous learning within the engineering department.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier university.
- Experience: 7+ years of professional experience in software engineering, with at least 3 years in a leadership or architect role.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, or JAX. Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is required.
- AI Expertise: Proven track record of deploying production-grade machine learning models and designing distributed systems.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and innovate under pressure.