Job Description
Are you ready to architect the future? Project 2026 is Nexus Horizon Labs' flagship initiative, dedicated to revolutionizing enterprise interaction through next-generation autonomous agents and advanced neural networks. We are seeking a visionary Lead AI Architect to lead this transformation and define the technical landscape of the future.
In this role, you won't just write code; you will build the brain of tomorrow. You will be at the forefront of Generative AI, ensuring our systems are not only scalable but ethically sound and capable of handling complex, real-world scenarios.
Why join us?
• Work on cutting-edge AI technologies that are shaping the trajectory of the industry.
• Competitive compensation package with equity opportunities.
• Flexible remote-first culture with a hub in the heart of San Francisco.
Join Nexus Horizon Labs and help us engineer the year 2026.
Responsibilities
- Define and execute the technical vision for Project 2026, including architectural patterns for AI agents and LLM integration.
- Design scalable, high-performance infrastructure capable of supporting millions of concurrent AI interactions.
- Lead a team of elite engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product and design teams to translate futuristic concepts into robust, deployable software solutions.
- Oversee the optimization of deep learning models to ensure real-time latency and accuracy.
- Establish security protocols and compliance standards for sensitive AI data processing.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Proven experience designing and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
- Strong understanding of cloud-native architectures (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Exceptional leadership skills with a demonstrated ability to mentor and scale engineering teams.