Job Description
We are on the precipice of the next industrial revolution, and FutureScale Technologies is leading the charge. As we look toward the future of intelligence in 2026, we are seeking a visionary AI Evolution Architect to design the infrastructure that will power the next generation of autonomous systems.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production environments. You will define the architectural blueprint for our upcoming platform releases, ensuring our systems are not only robust today but are future-proofed for the rapid advancements expected by 2026. Join a team of world-class engineers and data scientists dedicated to pushing the boundaries of what is possible.
Why Join Us?
- Work with cutting-edge Generative AI and LLM technologies.
- Competitive compensation and equity package.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Architect and design scalable, high-performance AI infrastructure capable of handling exabyte-scale data processing by 2026.
- Lead the technical strategy for integrating emerging AI models into our core product ecosystem.
- Oversee the migration of legacy systems to modern, AI-native architectures.
- Collaborate with cross-functional teams (Data Science, Product, Security) to define technical roadmaps.
- Ensure system reliability, latency optimization, and cost-efficiency in cloud environments.
- Establish best practices for ethical AI and data governance.
- Conduct deep-dive technical reviews and mentor senior engineering staff.
Qualifications
- Master’s or PhD degree in Computer Science, Machine Learning, or a related field.
- 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Proven experience designing systems for high availability and fault tolerance.
- Strong understanding of distributed systems, microservices, and cloud-native technologies (AWS/GCP).
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.
- Experience with MLOps and model deployment pipelines.