Job Description
We are seeking a visionary Senior AI Architect to lead the development of our next-generation autonomous systems. As we accelerate towards the future of 2026, our mission is to integrate cutting-edge Artificial General Intelligence (AGI) into scalable enterprise solutions. You will be at the forefront of defining the architectural standards for our proprietary neural networks and machine learning platforms.
In this role, you will bridge the gap between theoretical research and practical implementation, ensuring our AI models are not only powerful but also explainable, ethical, and secure. If you are passionate about the future of technology and want to shape the digital landscape of tomorrow, we want to hear from you.
Why Join Us?
- Work on the bleeding edge of AI technology.
- Competitive equity and benefits package.
- Flexible remote-first culture with access to premium tech hubs.
Responsibilities
- Architect and design scalable deep learning infrastructure for large-scale data processing.
- Lead the research and implementation of state-of-the-art Natural Language Processing (NLP) and Computer Vision models.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Ensure the ethical deployment of AI, adhering to strict bias and safety guidelines.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Optimize model performance and reduce latency in production environments.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 7+ years of experience in AI/ML engineering, with at least 3 years in a lead or architectural role.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of MLOps, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade machine learning models.
- Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.