Job Description
Are you ready to architect the future of intelligent systems? Nexus 2026 Systems is pioneering the next generation of artificial intelligence, and we are seeking a visionary Senior AI Architect to join our elite engineering team in Austin. In this pivotal role, you will define the technical roadmap for our 2026 product suite, bridging the gap between theoretical AI research and scalable production systems.
We are looking for a thought leader who is obsessed with performance, ethics in AI, and building solutions that stand the test of time. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design and deploy scalable, fault-tolerant AI infrastructure capable of handling petabyte-scale data streams and real-time inference.
- R&D Leadership: Spearhead research initiatives focused on emerging paradigms such as Neural Symbolic AI and Quantum-Enhanced Machine Learning.
- Technical Strategy: Translate complex business requirements into robust technical architectures, ensuring alignment with our 2026 product vision.
- Model Optimization: Drive the optimization of deep learning models for reduced latency and increased efficiency on edge devices.
- Mentorship: Guide a team of talented data scientists and engineers, fostering a culture of continuous learning and technical excellence.
- Compliance & Ethics: Ensure all AI models adhere to strict ethical guidelines, bias mitigation protocols, and regulatory compliance standards.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum of 8+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior architect role.
- Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- AI Specialization: Proven track record of working with Large Language Models (LLMs), NLP, or Computer Vision architectures.
- Problem Solving: Demonstrated ability to solve complex, ambiguous technical problems with innovative solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.