Job Description
We are on the precipice of a new era of technological evolution. Nexus Future Labs is seeking a visionary Senior AI Architect to lead Project 2026, our flagship initiative aimed at integrating quantum-ready neural networks into mainstream enterprise solutions.
In this pivotal role, you won't just write code; you will architect the very fabric of our future. You will collaborate with world-class engineers and researchers to build systems that are not only scalable and secure but also ethical and transformative. If you are passionate about pushing the boundaries of what's possible and want to leave a legacy in the next generation of AI, we want to meet you.
Why Join Us?
- Work on Project 2026, a $50M strategic initiative.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with state-of-the-art office amenities in Austin.
- Access to cutting-edge hardware and proprietary datasets.
Responsibilities
- Lead the architectural vision for Project 2026, designing robust, scalable, and secure AI infrastructure.
- Define and implement best practices for machine learning operations (MLOps) and data governance.
- Collaborate with cross-functional teams (Product, Engineering, Compliance) to translate business requirements into technical AI solutions.
- Mentor junior architects and data scientists, fostering a culture of innovation and continuous learning.
- Conduct rigorous code reviews and system architecture assessments to ensure high performance and reliability.
- Prioritize ethical AI practices, ensuring fairness, transparency, and accountability in all deployed models.
Qualifications
- Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
- Minimum of 8 years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or equivalent deep learning frameworks.
- Strong proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Proven track record of leading large-scale machine learning projects from conception to deployment.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.