Job Description
We are pioneering the technology that will define the era of 2026 and beyond. We are looking for a visionary Lead AI Architect to build the infrastructure for the future of autonomous systems and quantum-enhanced learning models. This is a high-impact role where you will shape the technical roadmap for the next decade.
In this position, you will bridge the gap between theoretical AI research and scalable production environments. You will lead a team of elite engineers and researchers, ensuring our solutions are not only cutting-edge but also ethically sound and highly performant. Join us in constructing the digital backbone of tomorrow.
Responsibilities
- Spearhead the architectural design of scalable, next-generation AI infrastructure for the 2026 roadmap.
- Define and implement best practices for machine learning operations (MLOps) and model deployment.
- Mentor and lead a high-performance team of data scientists and software engineers.
- Ensure systems are resilient, secure, and compliant with global AI ethics standards.
- Collaborate with cross-functional product teams to translate business needs into technical AI solutions.
- Research and evaluate emerging technologies, including Generative AI and Neuromorphic computing.
- Drive innovation in our proprietary algorithms to achieve state-of-the-art performance metrics.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a Lead or Architect role within AI/ML.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of distributed systems, cloud architecture (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
- Proven track record of delivering large-scale machine learning products to market.
- Experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
- Ph.D. or Master’s degree in Computer Science, AI, or a related field is preferred.
- Exceptional leadership skills with a focus on fostering a culture of innovation and continuous learning.