Job Description
We are not just building software; we are architecting the future. Quantum Nexus is seeking a visionary Senior AI Architect to lead our next-gen research division. In this pivotal role, you will define the technological roadmap for 2026 and beyond, building intelligent systems that redefine human-machine interaction. If you thrive on solving complex problems and leading high-performance teams, this is your opportunity to shape the digital landscape.
Why Join Us?
- Work on cutting-edge projects with a global impact.
- Competitive equity package and top-tier benefits.
- Flexible remote-first culture with premium office amenities in SF.
Key Responsibilities:
- Architect and deploy scalable machine learning infrastructure tailored for enterprise-level growth.
- Lead a cross-functional team of data scientists and engineers to deliver high-impact AI solutions.
- Define the long-term technical vision, ensuring alignment with business goals and 2026 strategic milestones.
- Optimize model performance, latency, and cost-efficiency in real-time environments.
- Stay at the forefront of emerging technologies, evaluating their viability for integration.
- Mentor junior staff and foster a culture of innovation and continuous learning.
Qualifications:
- Masterβs degree or PhD in Computer Science, AI, or a related technical field.
- 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
- Proven track record of leading technical teams through complex project lifecycles.
- Strong understanding of cloud architectures (AWS, GCP, Azure) and DevOps practices.
- Exceptional problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
Responsibilities
- Architect and deploy scalable machine learning infrastructure tailored for enterprise-level growth.
- Lead a cross-functional team of data scientists and engineers to deliver high-impact AI solutions.
- Define the long-term technical vision, ensuring alignment with business goals and 2026 strategic milestones.
- Optimize model performance, latency, and cost-efficiency in real-time environments.
- Stay at the forefront of emerging technologies, evaluating their viability for integration.
- Mentor junior staff and foster a culture of innovation and continuous learning.
Qualifications
- Masterβs degree or PhD in Computer Science, AI, or a related technical field.
- 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
- Proven track record of leading technical teams through complex project lifecycles.
- Strong understanding of cloud architectures (AWS, GCP, Azure) and DevOps practices.
- Exceptional problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.