Job Description
Are you ready to define the AI landscape of 2026?
Nexus Horizon Labs is pioneering the next generation of Autonomous Agentic AI and Multimodal Learning Systems. We are looking for a visionary Senior AI Architect to lead the development of scalable, secure, and high-performance machine learning models that will power the enterprise of tomorrow.
In this role, you won't just be maintaining legacy systems; you will be architecting the core intelligence of our products, ensuring they are robust, ethical, and ready for the rapid evolution of the AI market leading up to 2026 and beyond.
Why Join Us?
- Work on cutting-edge Generative AI and LLM infrastructure.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with state-of-the-art equipment.
- Focus on long-term impact and sustainable AI development.
Apply today to help shape the future of technology.
Responsibilities
- Design & Architecture: Lead the end-to-end design of complex AI/ML systems, focusing on scalability, latency optimization, and fault tolerance.
- Model Development: Spearhead the research and implementation of proprietary Large Language Models (LLMs) and reinforcement learning agents.
- Infrastructure: Optimize inference pipelines and deploy models on GPU clusters using containerization and cloud-native technologies.
- Ethical AI: Establish and enforce rigorous guidelines for AI safety, bias mitigation, and data privacy compliance.
- Collaboration: Partner with cross-functional teams (Product, Engineering, Data Science) to translate business requirements into technical AI solutions.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Research: Stay ahead of the curve by integrating the latest advancements in transformer architectures and multimodal learning.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years specifically in Generative AI or LLMs.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of deep learning architectures (Transformers, GANs, Diffusion Models).
- Infrastructure: Experience with cloud platforms (AWS/GCP/Azure), Kubernetes, and MLOps tools (MLflow, Kubeflow).
- Problem Solving: Strong ability to troubleshoot complex mathematical and system-level issues in high-stakes environments.
- Communication: Exceptional written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Language: Fluency in English is mandatory.