Job Description
We are seeking a visionary Senior AI Systems Architect to define the technological roadmap for our upcoming 2026 product line. At Quantum Horizon Inc., we are at the forefront of generative AI and autonomous systems, and we need a leader who can bridge the gap between theoretical innovation and scalable engineering.
In this role, you will lead a cross-functional team of data scientists and engineers to build the infrastructure required to support next-generation AI models. If you are passionate about the future of technology and want to shape the landscape of 2026, we want to hear from you.
Responsibilities
- Lead Architecture Design: Design and oversee the implementation of scalable AI infrastructure tailored for the 2026 technological landscape.
- Roadmap Planning: Define the strategic technical roadmap for AI development, ensuring alignment with company long-term goals.
- Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation and technical excellence.
- System Optimization: Identify and resolve bottlenecks in current systems, optimizing for speed, accuracy, and cost-efficiency.
- Research & Development: Collaborate with R&D to evaluate emerging technologies (e.g., neuromorphic computing, advanced LLMs) for integration.
- Stakeholder Communication: Translate complex technical concepts into clear, actionable insights for non-technical stakeholders and investors.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior AI or ML architecture role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS).
- Leadership: Proven track record of leading engineering teams and delivering complex projects on time.
- Innovation: Strong ability to anticipate industry trends and adapt strategies for the future.
- Problem Solving: Exceptional analytical skills with a focus on solving large-scale, ambiguous problems.