Job Description
Are you ready to architect the future of intelligence? OmniCore Systems is seeking a visionary Futurist AI Architect to lead our elite research division in developing the foundational architectures for Artificial General Intelligence (AGI) targeted for the 2026 technological horizon.
In this role, you won't just be writing code; you will be defining the cognitive models that will power the next generation of autonomous systems. We are looking for a pioneer who thrives in ambiguity and is obsessed with pushing the boundaries of what is possible in machine learning.
Why join us?
- Work on the bleeding edge of AI research.
- Competitive compensation package with equity.
- State-of-the-art facilities in the heart of the tech hub.
Responsibilities
- Design and implement scalable, self-improving neural architectures capable of handling complex, multi-modal inputs.
- Lead a cross-functional team of researchers and engineers to translate theoretical AGI concepts into production-ready prototypes.
- Optimize large-scale neural networks for inference speed and energy efficiency, specifically targeting next-gen hardware.
- Define the technical roadmap for Project 2026, ensuring alignment with long-term strategic goals.
- Collaborate with cognitive scientists to bridge the gap between biological intelligence and artificial systems.
- Stay ahead of the curve on emerging breakthroughs in quantum computing and neuromorphic engineering.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on AI.
- 10+ years of experience in machine learning, deep learning, or systems architecture, with at least 3 years in a leadership role.
- Proven expertise in designing architectures for Large Language Models (LLMs) and generative adversarial networks.
- Strong proficiency in Python, C++, and Rust, with experience deploying models to cloud-native environments.
- Deep understanding of optimization techniques, distributed systems, and edge computing.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.