Job Description
We are looking for a visionary Senior AI Architect to lead the charge in defining the technological landscape of 2026. At Nexus Core Technologies, we are building the infrastructure for the next generation of artificial intelligence, focusing on scalable autonomous agents and advanced generative models.
If you are passionate about solving complex problems at the intersection of deep learning, systems architecture, and human-computer interaction, we want to hear from you. This is a unique opportunity to shape the future of technology while working in a dynamic, high-performance environment.
Why Join Us?
- Work on cutting-edge AI research that directly impacts millions.
- Competitive compensation and equity packages.
- Flexible remote-first policy with a vibrant HQ in the heart of San Francisco.
Responsibilities
- Lead the architectural design and development of next-generation AI systems capable of operating in complex, unstructured environments.
- Drive research and implementation of Large Language Models (LLMs) and generative algorithms to enhance product capabilities.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate technical requirements into scalable solutions.
- Mentor junior engineers and conduct code reviews to maintain high standards of technical excellence.
- Optimize neural network performance and ensure system scalability for high-throughput workloads.
- Stay ahead of industry trends, including quantum computing interfaces and edge AI deployment.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
- 7+ years of professional experience in software engineering, with at least 3 years focused on AI/ML systems architecture.
- Strong proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Proven experience deploying and scaling LLMs (e.g., GPT, Llama, Claude) in production environments.
- Deep understanding of distributed systems, cloud architecture (AWS/GCP), and data pipelines.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.