Job Description
We are building the infrastructure for the future. Nexus Horizon is seeking a visionary Senior AI Architect to spearhead our 2026 AGI (Artificial General Intelligence) roadmap. In this pivotal role, you will define the architectural vision for next-generation cognitive systems, bridging the gap between theoretical research and scalable production engineering.
As we approach the 2026 technological horizon, we are looking for a pioneer who can navigate the complexities of autonomous reasoning, multimodal learning, and ethical AI implementation. You will work at the intersection of deep learning, distributed systems, and human-centric design to create AI that doesn't just process data, but understands context and intent.
Why Join Us?
- Work on projects that define the 2026 era of technology.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art facilities.
- Access to proprietary datasets and compute resources.
Ready to shape the future? Apply today.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic planning and technical execution for our Artificial General Intelligence initiatives, setting the technical vision for the next decade.
- Architect Scalable Systems: Design and implement robust, scalable neural network architectures capable of handling complex, real-time data streams.
- Pioneer Research: Conduct cutting-edge research in natural language processing (NLP), computer vision, and reinforcement learning to push the boundaries of machine intelligence.
- Cross-Functional Leadership: Mentor and guide a team of world-class engineers and researchers, fostering a culture of innovation and technical excellence.
- Ethical AI Implementation: Ensure all systems adhere to rigorous safety protocols and ethical guidelines, addressing bias and fairness in AI models.
- Technical Strategy: Collaborate with product and executive leadership to translate business goals into actionable technical specifications.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 8+ years of experience in AI/ML engineering, with at least 3 years in a senior leadership or architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing (e.g., Kubernetes, Docker) and cloud platforms (AWS, GCP).
- Core Competencies: Proven track record in developing state-of-the-art Large Language Models (LLMs) or deep learning frameworks.
- Problem Solving: Exceptional ability to solve ambiguous problems and architect solutions for complex, high-stakes environments.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.