Job Description
FutureScale Technologies is pioneering the synthetic intelligence era of 2026. We are seeking a visionary Senior AI/AGI Systems Architect to design the robust, scalable, and ethical infrastructure for our next-generation autonomous agents. You will bridge the gap between theoretical artificial general intelligence and practical, high-performance deployment.
Why Join Us?
We offer a competitive equity package, remote-first flexibility, and the opportunity to shape the cognitive future of the global economy. If you are passionate about the intersection of machine learning, distributed systems, and ethics, we want to hear from you.
Responsibilities
- Architect Core Inference Engines: Design and implement high-performance, low-latency inference architectures capable of handling billions of parameters in real-time.
- AGI Roadmap Planning: Define the technical strategy for moving from Large Language Models (LLMs) to multi-modal AGI systems by 2026.
- Neural Optimization: Utilize advanced techniques in neural architecture search (NAS) and quantization to optimize model efficiency on edge devices.
- Ethical AI Frameworks: Lead the implementation of safety guardrails and alignment protocols to ensure AI autonomy remains beneficial.
- Quantum-Cloud Integration: Collaborate with quantum computing research teams to hybridize classical AI models with quantum algorithms.
- Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and rigorous engineering standards.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Computational Neuroscience, or a related technical field.
- Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a senior or lead architect role.
- Technical Stack: Deep expertise in Python, PyTorch, and Rust. Experience with distributed computing frameworks (Kubernetes, Ray, or Apache Spark) is required.
- AGI Knowledge: Proven track record of working with Large Language Models (GPT-4, Claude, etc.) and experience fine-tuning or RAG-based architectures.
- System Design: Demonstrated ability to design fault-tolerant, scalable systems capable of handling massive concurrent traffic.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.