Job Description
We are seeking a visionary AI Systems Architect to define the technological roadmap for the year 2026. As the digital landscape evolves towards autonomous systems and quantum integration, you will be responsible for architecting scalable, resilient, and intelligent infrastructure that leads the industry.
About the Role
In this pivotal position, you will bridge the gap between theoretical breakthroughs and practical deployment, ensuring our platforms are prepared for the next generation of computing paradigms. You will work closely with R&D teams to integrate cutting-edge Large Language Models (LLMs) and neuromorphic computing technologies into our core products.
Responsibilities
- Architect and deploy high-performance AI infrastructure optimized for 2026 workloads and scalable to exabyte-scale data.
- Lead research and development initiatives in Generative AI, Deep Learning, and future-proof neural networks.
- Design robust data pipelines and microservices architecture to support real-time AI inference.
- Establish best practices for model governance, ethical AI, and safety in autonomous systems.
- Collaborate with cross-functional teams to integrate AI solutions into consumer and enterprise ecosystems.
- Mentor senior engineering teams and drive technical excellence across the organization.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 8+ years of experience in software engineering, machine learning, and system architecture.
- Deep expertise in Python, C++, and modern ML frameworks (TensorFlow, PyTorch, JAX).
- Proven track record of deploying scalable systems in major cloud environments (AWS, GCP, Azure).
- Familiarity with quantum computing concepts and hardware acceleration.
- Strong understanding of distributed computing, Kubernetes, and high-availability systems.