Job Description
We are on the precipice of a technological singularity. At FutureScale Inc., we are building the operating systems for tomorrow. We are looking for a visionary AI Systems Architect to lead our 2026 roadmap, focusing on next-generation generative models and autonomous decision-making frameworks.
In this role, you will not just implement existing technologies; you will define the architectures that will dominate the industry in 2026. You will work in a state-of-the-art facility with world-class researchers and engineers dedicated to pushing the boundaries of what is possible with Artificial General Intelligence (AGI).
Why Join Us?
- Work on cutting-edge technology that defines the future.
- Competitive compensation package including equity.
- Flexible work environment with a focus on well-being and innovation.
Responsibilities
- Architect scalable, high-performance AI infrastructure capable of processing petabytes of real-time data streams.
- Lead the research and development of proprietary generative algorithms targeting the 2026 market window.
- Collaborate with cross-functional engineering teams to integrate AI models into core product ecosystems.
- Define technical roadmaps and architectural standards for all AI/ML initiatives.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
- Ensure system reliability, security, and compliance with global data regulations.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in machine learning, deep learning, or systems architecture.
- Proven track record of deploying production-level AI models at scale.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
- Strong understanding of Large Language Models (LLMs) and Reinforcement Learning.
- Exceptional leadership and communication skills to translate technical concepts for diverse stakeholders.
- Experience working in a fast-paced, high-growth startup environment.