Job Description
At Nexus 2026, we are pioneering the next generation of artificial intelligence and predictive modeling. We are looking for a visionary Senior AI Architect to lead our engineering initiatives and bridge the gap between theoretical research and scalable production systems.
As a key member of our leadership team, you will define the technical roadmap for our flagship products, ensuring we stay ahead of the curve in a rapidly evolving technological landscape. If you are passionate about building systems that learn, adapt, and scale, we want to hear from you.
Why Join Us?
- Competitive compensation and equity package.
- Flexible remote-first culture with a vibrant Austin office.
- Access to cutting-edge hardware and research datasets.
Responsibilities
- Design and architect scalable, high-performance AI and machine learning systems tailored for future enterprise needs.
- Lead technical strategy, mentorship of junior engineers, and code reviews to maintain high engineering standards.
- Collaborate with product managers and data scientists to translate business requirements into technical solutions.
- Optimize existing models for speed and accuracy, implementing best practices in MLOps and CI/CD pipelines.
- Stay at the forefront of industry trends, evaluating new technologies (e.g., quantum computing interfaces, advanced LLMs) for potential integration.
- Conduct rigorous system testing and performance benchmarking to ensure reliability and security.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
- 8+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
- Proficiency in Python, PyTorch, TensorFlow, and modern cloud infrastructure (AWS, GCP, or Azure).
- Deep understanding of Natural Language Processing (NLP) and Computer Vision (CV) concepts.
- Strong problem-solving skills with a focus on system design and scalability.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.