Job Description
Are you ready to define the intelligence of tomorrow?
Nexus Horizon Labs is pioneering the technological frontier, specifically targeting the breakthroughs expected in the 2026 landscape. We are looking for a visionary Senior AI Architect to lead the design and implementation of next-generation Generative AI systems and Large Language Models (LLMs).
In this pivotal role, you won't just be maintaining existing models; you will be architecting the foundational infrastructure required to support the explosive growth of AI in the coming years. If you are passionate about pushing the boundaries of what is possible in Future Tech (2026), we want to hear from you.
Why Join Us?
- Work on cutting-edge AI projects that define the industry standard for 2026.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Architect Future-Proof Systems: Design scalable, high-performance AI infrastructure tailored for 2026 workloads, focusing on efficiency and cost reduction.
- Advanced Model Development: Lead the fine-tuning and optimization of proprietary Generative AI models to enhance reasoning capabilities and output quality.
- RAG & Vector Database Optimization: Spearhead the implementation of Retrieval-Augmented Generation (RAG) systems to ensure real-time, accurate data synthesis.
- Multi-Modal AI Integration: Oversee the development of systems capable of processing and generating text, code, and visual data seamlessly.
- Ethical AI Governance: Establish and enforce rigorous safety guidelines and ethical frameworks to prevent bias and ensure responsible deployment of AI agents.
- MLOps & Deployment: Build automated pipelines for model training, validation, and deployment, ensuring high availability across distributed cloud environments.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence or Machine Learning.
- Technical Expertise: Deep experience with Python, PyTorch, TensorFlow, and modern inference engines (e.g., vLLM, TensorRT).
- 2026 Vision: Demonstrated experience with cutting-edge concepts such as Agentic AI, autonomous agents, and memory-augmented neural networks.
- Infrastructure: Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Ability to tackle complex system architecture challenges and optimize latency in real-time AI applications.
- Communication: Exceptional ability to translate complex technical concepts for cross-functional teams and stakeholders.