Job Description
Join Nexus Horizons Inc. as we redefine the boundaries of artificial intelligence to shape the technological landscape of 2026. We are seeking a visionary Senior AI Architect to lead the development of next-generation neural systems and autonomous frameworks. If you are passionate about the future of tech and want to architect solutions that will stand the test of time, this is your opportunity.
We offer a competitive compensation package, comprehensive benefits, and an environment that fosters innovation and creativity. You will work with a world-class team of researchers and engineers dedicated to pushing the envelope of what is possible in AI.
Why Join Us?
- Work on cutting-edge projects that define the future of technology.
- Competitive salary and equity package ($180k - $250k).
- Flexible remote-first policy with access to premium office amenities.
- Continuous learning and development budget.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, scalable, and secure neural network architectures for large-scale deployment.
- R&D Leadership: Lead research initiatives focused on emerging AI paradigms, including generative models and reinforcement learning.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and software engineers to translate complex requirements into technical solutions.
- Optimization: Drive performance optimization strategies to ensure low-latency and high-accuracy inference in production environments.
- Mentorship: Mentor junior engineers and architects, fostering a culture of technical excellence and continuous improvement.
- Future-Proofing: Stay ahead of industry trends to integrate quantum computing concepts and edge AI technologies into our roadmap.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specializing in AI/ML architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed systems. Experience with cloud platforms (AWS/GCP/Azure) is required.
- Architecture: Deep understanding of MLOps, data pipelines, and system design patterns.
- Problem Solving: Proven track record of solving complex technical challenges in ambiguous environments.
- Communication: Excellent verbal and written communication skills with the ability to present technical concepts to non-technical stakeholders.