Job Description
We are Nexus Core Systems, a pioneering force in next-generation artificial intelligence. As we prepare to redefine the technological landscape for the year 2026, we are seeking a visionary Future AI Architect to lead our R&D division. This is not just a job; it is a mission to engineer the intelligent infrastructure of tomorrow.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will be responsible for designing autonomous agents, optimizing neural network architectures, and ensuring our systems remain resilient in an evolving digital ecosystem. If you possess an insatiable curiosity for the future and a mastery of current technologies, we want to hear from you.
Why Join Nexus Core?
- Work on cutting-edge projects that define the future of work.
- Competitive compensation package with equity options.
- Flexible hybrid work environment in the heart of San Francisco.
- Access to state-of-the-art computing infrastructure.
Responsibilities
- Design and implement scalable AI architectures tailored for the 2026 technological landscape.
- Lead the research and development of autonomous decision-making systems and generative models.
- Collaborate with cross-functional teams to integrate AI solutions into core product pipelines.
- Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
- Ensure ethical AI compliance and data privacy standards across all deployments.
- Optimize cloud infrastructure for high-throughput, low-latency AI inference.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Proven experience (10+ years) in designing complex software systems and AI models.
- Deep expertise in Python, TensorFlow, PyTorch, and Rust.
- Strong background in distributed systems, microservices, and cloud-native technologies (AWS/Azure/GCP).
- Exceptional problem-solving skills and a track record of leading high-impact projects.
- Excellent communication skills, capable of translating complex technical concepts for diverse stakeholders.