Job Description
Are you ready to architect the digital landscape of tomorrow? Nexus Horizon Solutions is seeking a visionary Senior AI Architect to lead our groundbreaking 2026 Initiative. We are not just building software; we are defining the technological foundation for the next decade.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are robust, scalable, and ethically sound. You will work alongside world-class researchers and engineers to deploy cutting-edge generative models and autonomous systems that will redefine industry standards.
Why Join Us?
- Work on future-first technologies that will shape the world in 2026 and beyond.
- Competitive compensation package with equity opportunities.
- Flexible hybrid work environment in the heart of Austin.
- Access to top-tier hardware and cloud infrastructure.
Responsibilities
- Architect and oversee the deployment of next-generation neural networks and AI infrastructure for the 2026 roadmap.
- Lead the integration of ethical AI guidelines into system design to ensure fairness and transparency.
- Collaborate with cross-functional teams (Data Science, Product, Security) to translate complex business requirements into technical solutions.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Optimize model performance for edge computing environments and large-scale distributed systems.
- Stay at the forefront of emerging AI trends, such as quantum machine learning, and evaluate their applicability to our stack.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering with a strong focus on Machine Learning and Deep Learning.
- Extensive experience with Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, AWS, GCP).
- Proven track record of deploying production-ready AI models that drive measurable business impact.
- Strong understanding of data privacy laws, ethical AI principles, and bias mitigation strategies.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.