Job Description
Are you ready to define the technological landscape of the next decade? Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research into Artificial General Intelligence (AGI) and autonomous systems. We are building the foundational technologies required for the year 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical machine learning and practical, scalable deployment. You will work in a high-performance environment alongside world-class researchers and engineers to pioneer solutions that push the boundaries of what is possible.
Why Join Us?
We offer equity, competitive benefits, and the unique opportunity to work on projects that will define the future of human-computer interaction. Our office is located in the heart of the innovation district, fostering a culture of relentless curiosity and excellence.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement robust, scalable neural network architectures tailored for 2026 standards, including Large Language Models (LLMs) and multimodal agents.
- Lead Research & Development: Spearhead initiatives in Generative AI, reinforcement learning, and quantum-assisted computing integration.
- Ensure Ethical Compliance: Establish and enforce rigorous ethical guidelines and safety protocols for autonomous decision-making systems.
- Cross-Functional Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of continuous learning and innovation.
- Optimize Performance: Collaborate with infrastructure teams to optimize model inference, reduce latency, and minimize computational costs.
- Future-Proof Strategy: Analyze emerging trends in AI to guide long-term product strategy and technology adoption.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 8+ years of professional experience in machine learning engineering, with at least 3 years in a senior or leadership capacity.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Specialized Knowledge: Proven track record of working with LLMs, RAG (Retrieval-Augmented Generation), or AI Agents.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Problem Solving: Demonstrated ability to solve ambiguous, high-impact problems with innovative technical solutions.