Job Description
At Nexus Horizon Labs, we aren't just building software; we are architecting the future of human-machine interaction for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our cutting-edge research division, focusing on the next generation of artificial general intelligence and autonomous systems. You will be at the forefront of defining the technical roadmap for our flagship 2026 product suite, bridging the gap between theoretical breakthroughs and scalable production infrastructure.
As a key member of our leadership team, you will set the technical vision for our AI research labs, ensuring that our solutions are robust, ethical, and transformative. If you thrive in an environment that demands innovation, precision, and forward-thinking strategy, this is your opportunity to shape the world of tomorrow.
Responsibilities
- Architect and design scalable, high-performance AI infrastructure and pipelines for the 2026 product roadmap.
- Lead a cross-functional team of machine learning engineers and data scientists to deliver breakthrough AI capabilities.
- Define and establish technical standards, best practices, and architectural patterns for AI systems.
- Conduct deep research into emerging AI paradigms, including generative models and reinforcement learning.
- Collaborate with product management and engineering leadership to translate business requirements into technical specifications.
- Ensure the security, privacy, and ethical compliance of all deployed AI models.
- Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Deep expertise in machine learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
- Proven track record of leading large-scale AI projects from conception to deployment.
- Strong understanding of deep learning architectures, NLP, and computer vision.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).