Job Description
Join the Architects of Tomorrow
At 2026 Technologies, we are not just predicting the future; we are engineering it. We are seeking a visionary Lead AI Architect to spearhead our next-generation generative AI initiatives and autonomous systems. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to lead a world-class team in the heart of Texas, we want to hear from you.
Why 2026?
- Work on cutting-edge research that defines the industry standard.
- Competitive equity and a culture of radical innovation.
- Flexible remote-first culture with a hub in Austin.
Role Overview:
The Lead AI Architect will be responsible for the end-to-end design and implementation of our machine learning infrastructure. You will bridge the gap between theoretical research and production-grade engineering, ensuring our models are scalable, secure, and ethical.
Responsibilities
- Architect and deploy scalable machine learning pipelines and data lake architectures.
- Lead the research and development of novel AI algorithms and deep learning models.
- Mentor and guide a team of senior data scientists and engineers.
- Collaborate with cross-functional stakeholders to translate business requirements into technical AI solutions.
- Ensure system reliability, performance optimization, and cost-effective cloud resource management.
- Establish and enforce best practices for data governance and ethical AI compliance.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; PhD preferred.
- 10+ years of experience in software engineering and machine learning architecture.
- Proven expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS/Azure/GCP).
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Demonstrated leadership experience in managing high-performing engineering teams.
- Excellent problem-solving skills and a deep understanding of large-scale system design.