Job Description
We are pioneering the next generation of intelligent systems. As a AI Systems Architect joining us in 2026, you will lead the charge in deploying scalable, generative AI solutions for enterprise clients. This is not just a job; it is a mission to define the technological landscape of the coming decade.
Why Join Us?
- Work on cutting-edge Large Language Models (LLMs) and neural networks.
- Competitive equity package and comprehensive health benefits.
- Flexible remote and hybrid work policies designed for peak performance.
The Role
We are looking for a visionary engineer to bridge the gap between theoretical AI research and robust, production-grade software architecture.
Responsibilities
- Design and implement robust, high-performance AI infrastructure pipelines.
- Collaborate with data scientists and ML engineers to translate research models into production-ready software.
- Oversee the secure deployment and scaling of machine learning models on major cloud platforms (AWS, GCP, Azure).
- Mentor junior engineers, conduct technical code reviews, and establish coding standards.
- Stay ahead of the curve with the latest advancements in generative AI, transformer architectures, and edge computing.
- Optimize system latency and cost-efficiency in large-scale distributed environments.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, system architecture, and machine learning operations (MLOps).
- Deep expertise in Python, C++, and modern deep learning frameworks (PyTorch, TensorFlow, JAX).
- Proven track record of deploying complex AI systems that handle millions of requests per day.
- Strong understanding of cloud-native architecture, containerization (Docker, Kubernetes), and microservices.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.