Job Description
The Future is Here.
FutureCore Systems is pioneering the next generation of artificial intelligence, aiming to redefine human-machine interaction by the year 2026. We are seeking a visionary Senior AI Architect to lead our research and development initiatives in Neuromorphic Computing and AGI (Artificial General Intelligence) integration.
In this pivotal role, you will bridge the gap between theoretical quantum algorithms and practical silicon implementation. You will not just build models; you will architect the cognitive frameworks of tomorrow. Join a elite team of engineers, ethicists, and futurists dedicated to deploying ethical, scalable, and super-intelligent systems across the globe.
Why Join Us?
- Work on cutting-edge projects that will shape the 2026 technological landscape.
- Competitive compensation and equity packages.
- Flexible remote-first culture with access to top-tier hardware labs.
- Opportunity to influence global AI policy and standards.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable neural architectures capable of processing exabytes of data with minimal latency.
- Neuromorphic Engineering: Lead the integration of brain-inspired computing models into our core infrastructure.
- Quantum-Classic Hybrid Solutions: Develop algorithms that effectively leverage quantum processing units alongside traditional silicon chips.
- Model Optimization: Fine-tune large language models and generative AI agents to ensure high-fidelity performance in real-world scenarios.
- Ethical AI Oversight: Establish rigorous guidelines for AI safety, bias mitigation, and transparency in automated decision-making.
- Team Leadership: Mentor a team of junior researchers and engineers, fostering a culture of innovation and continuous learning.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI/ML.
- Experience: 7+ years of professional experience in machine learning, deep learning, or AI architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Domain Knowledge: Deep understanding of Large Language Models (LLMs), Transformers, and Reinforcement Learning.
- Innovation Mindset: Proven track record of publishing research or delivering breakthrough products in the AI space.
- Communication: Excellent ability to translate complex technical concepts into strategic business value for stakeholders.