Job Description
We are looking for a visionary AI Systems Architect to join our elite engineering team at FutureScale Technologies. As we gear up for the technological breakthroughs defining the year 2026, we need a leader who can architect scalable, intelligent infrastructure that pushes the boundaries of what is possible.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platforms are robust, efficient, and future-ready. You will work in a dynamic environment where your code directly impacts millions of users globally.
Why Join Us?
- Competitive base salary and equity package.
- Unlimited PTO and comprehensive health benefits.
- Access to cutting-edge hardware and research tools.
- Opportunity to shape the roadmap for the next generation of AI.
Responsibilities
- Architect and design scalable, fault-tolerant AI infrastructure capable of handling exabyte-scale data processing.
- Lead the research and implementation of next-generation Generative AI models and neural architectures.
- Define the technical vision and roadmap for AI product integration in the 2026 product suite.
- Optimize machine learning pipelines for high-performance inference in real-time environments.
- Collaborate with cross-functional teams (Product, Data Science, DevOps) to translate complex requirements into technical solutions.
- Establish best practices for code quality, model monitoring, and deployment automation.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of professional experience in software engineering, with a focus on AI/ML.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face.
- Proven experience designing large-scale distributed systems on cloud platforms (AWS, GCP, or Azure).
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Exceptional problem-solving skills and ability to thrive in a fast-paced, innovative environment.