Job Description
Are you ready to architect the future of intelligence? Nexus Horizon is seeking a visionary Senior AI Architect to lead our 2026 technology roadmap. We are building the next generation of autonomous agents and generative AI systems that will redefine human-machine interaction.
In this role, you won't just maintain existing models; you will pioneer new architectures for scalability, efficiency, and ethical AI deployment. Join a team of world-class researchers and engineers dedicated to pushing the boundaries of what is possible in 2026 and beyond.
Why Join Us?
- Work on cutting-edge Generative AI and LLM fine-tuning.
- Competitive compensation and equity packages.
- Flexible remote-first policy with a focus on innovation.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable AI infrastructure capable of handling exabyte-scale data processing for the 2026 era.
- R&D Leadership: Spearhead research into emerging paradigms such as Neuromorphic Computing and Federated Learning to enhance model efficiency.
- Model Optimization: Lead initiatives to optimize model inference latency and reduce computational costs for edge deployment.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex technical requirements into robust engineering solutions.
- Code Review & Mentorship: Establish coding standards and mentor junior engineers, fostering a culture of technical excellence.
- Ethical AI Implementation: Ensure all deployed models adhere to strict ethical guidelines and bias mitigation protocols.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
- Core Knowledge: Deep understanding of Large Language Models (LLMs), Transformers, and NLP techniques.
- Cloud Expertise: Proven experience deploying models on major cloud platforms (AWS, GCP, or Azure).
- Soft Skills: Exceptional problem-solving abilities and strong communication skills to articulate complex technical concepts to non-technical stakeholders.