Job Description
About Nexus Horizon Technologies
We are at the forefront of the next technological revolution. As we prepare for the 2026 horizon, we are seeking a visionary Senior AI Architect to lead our advanced research division. You will be responsible for designing the neural infrastructure that powers our next-generation products and defining the technical roadmap for the future of human-computer interaction.
The Role
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will work on cutting-edge projects involving generative AI, quantum computing integration, and autonomous systems. If you are passionate about shaping the digital landscape of 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on projects that define the future of technology.
- Competitive equity and 401(k) matching.
- Flexible remote-first policy with premium office amenities.
- Continuous learning budget and access to top-tier research libraries.
Responsibilities
- Architect Design: Design and implement scalable AI architectures for large-scale data processing and machine learning models.
- Research Leadership: Lead research initiatives in deep learning and neural networks, focusing on efficiency and accuracy.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- System Optimization: Optimize existing models for deployment on edge devices and cloud environments.
- Strategic Roadmapping: Define the technical strategy for 2026, aligning AI capabilities with business goals.
- Collaboration: Collaborate with cross-functional teams including product managers, UX designers, and hardware engineers.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering and software development.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and C++.
- Cloud Proficiency: Strong experience with cloud platforms such as AWS, GCP, or Azure.
- Problem Solving: Proven ability to solve complex technical problems and optimize system performance.
- Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.