Job Description
We are seeking a visionary Lead AI Architect to define the technological roadmap for 2026. As the industry accelerates toward AGI (Artificial General Intelligence) and autonomous systems, QuantumCore Systems is building the next generation of neural infrastructure.
In this role, you will bridge the gap between theoretical research and scalable production systems. You will lead a team of engineers in designing the core algorithms that will power our products in the 2026 ecosystem, focusing on efficiency, ethics, and massive parallel processing.
Join us in shaping the future of technology and be at the forefront of the AI revolution.
Responsibilities
- Architect 2026-Ready Infrastructure: Design and implement robust, scalable AI frameworks capable of handling petabyte-scale data streams with zero-latency inference.
- Lead Research & Development: Spearhead the exploration of next-generation Large Language Models (LLMs) and multimodal architectures aligned with the 2026 strategic vision.
- System Optimization: Oversee the deployment of high-performance computing clusters, optimizing model training cycles and reducing energy consumption.
- Technical Strategy: Define the technical roadmap for the AI division, evaluating emerging technologies (e.g., neuromorphic computing, quantum machine learning) for integration.
- Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Compliance & Ethics: Ensure all 2026 architectural standards adhere to global AI safety and ethical guidelines.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture roles.
- Technical Stack: Deep expertise in Python, C++, Rust, and distributed systems; proven experience with TensorFlow, PyTorch, or JAX.
- 2026 Vision: Demonstrated ability to anticipate industry trends and translate them into actionable technical architecture.
- Problem Solving: Exceptional problem-solving skills with a focus on scalability, fault tolerance, and real-time processing.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.