Job Description
About the Role:
Welcome to the future. At Nexus Horizon Labs, we are not just building software; we are architecting the technological reality of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our cutting-edge research division, focusing on next-generation neural architectures and autonomous systems.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will be responsible for defining the architectural blueprint for our flagship projects, ensuring our systems are robust, ethical, and capable of solving complex, real-world problems.
Why Join Us?
- Work on pioneering technology that defines the era of 2026.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architect Design: Design and implement scalable neural network architectures and machine learning pipelines capable of handling exabyte-scale data.
- R&D Leadership: Lead research initiatives in generative AI, reinforcement learning, and human-computer interaction to stay ahead of the curve.
- System Optimization: Oversee the deployment and optimization of AI models in cloud environments (AWS/GCP), ensuring low latency and high availability.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Ethical AI: Establish and enforce guidelines for responsible AI development, ensuring transparency and fairness in algorithmic decision-making.
- Strategic Planning: Collaborate with product leadership to translate business goals into technical roadmaps for future AI capabilities.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field (equivalent industry experience accepted).
- Experience: 8+ years of professional experience in software engineering with a strong focus on Machine Learning and AI.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- Problem Solving: Demonstrated ability to solve complex algorithmic problems and optimize system performance.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders.
- Innovation: A track record of innovation and the ability to work in a fast-paced, ambiguous environment.