Job Description
Are you ready to define the trajectory of technology in 2026? Nexus Horizon Systems is seeking a visionary Lead AI Architect to spearhead our next-generation generative intelligence initiatives. We are not just building software; we are architecting the future of human-computer interaction.
In this pivotal role, you will bridge the gap between theoretical machine learning research and scalable production environments. You will lead a team of elite engineers in developing autonomous systems that will dominate the 2026 landscape.
Why Join Us?
- Work on cutting-edge Large Language Models (LLMs) and Neural Networks.
- Competitive equity package and salary reflective of market leaders.
- Remote-first culture with a focus on innovation and autonomy.
Responsibilities
- Architectural Leadership: Design and implement high-performance AI systems capable of processing petabytes of data in real-time.
- Model Development: Lead the research and deployment of proprietary Generative AI models, optimizing for accuracy and speed.
- Team Mentorship: Mentor a diverse team of data scientists and ML engineers, fostering a culture of continuous learning and technical excellence.
- Strategic Planning: Define the technical roadmap for our AI products, ensuring alignment with business goals and industry trends for 2026.
- Infrastructure Management: Oversee the integration of AI models into cloud-native Kubernetes environments, ensuring scalability and security.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex AI capabilities into user-friendly features.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
- Experience: 7+ years of experience in software engineering with a focus on machine learning, deep learning, or natural language processing.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers.
- Cloud Mastery: Strong expertise in AWS, GCP, or Azure, specifically regarding GPU clusters and serverless AI inference.
- Leadership: Demonstrated ability to lead high-performance engineering teams through complex technical challenges.
- Problem Solving: Exceptional analytical skills with a track record of solving ambiguous problems with innovative technical solutions.