Job Description
We are on the brink of a technological revolution, and Nexus Future Systems is looking for a visionary Principal AI Architect to lead our 2026 roadmap. If you are passionate about shaping the future of Generative AI and building systems that define the next era of human-computer interaction, this is your opportunity to make an indelible mark.
In this role, you will not just be building models; you will be architecting the infrastructure for the year 2026 and beyond. You will guide a team of elite engineers and data scientists to deploy scalable, ethical, and groundbreaking AI solutions that solve complex real-world problems.
Why join us?
We offer a competitive compensation package, equity opportunities, and the chance to work in a state-of-the-art facility in the heart of San Francisco. Join us in defining the future.
Responsibilities
- Architect the 2026 Roadmap: Define the long-term technical vision for our AI infrastructure, ensuring scalability and future-proofing against emerging technologies.
- Lead Advanced Model Development: Oversee the research and deployment of next-generation generative models and Large Language Models (LLMs).
- Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation, code quality, and continuous learning.
- Technical Strategy: Translate business requirements into robust technical architectures that drive competitive advantage.
- System Optimization: Drive initiatives to reduce latency, improve inference accuracy, and optimize cloud costs for large-scale AI workloads.
- Compliance & Ethics: Implement rigorous governance frameworks to ensure AI outputs are safe, unbiased, and compliant with global regulations.
Qualifications
- Experience: 10+ years of experience in software engineering and at least 5 years in leading AI/ML architecture roles.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
- Cloud Mastery: Proven track record designing systems on AWS, GCP, or Azure.
- Leadership: Demonstrated ability to lead cross-functional teams and manage stakeholder expectations in high-growth environments.
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Problem Solving: Exceptional analytical skills with a track record of solving complex architectural challenges.