Job Description
We are on the precipice of a technological renaissance. Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our R&D division and define the cognitive infrastructure for the year 2026 and beyond. This is not just a job; it is a mission to architect the future of intelligent systems.
In this pivotal role, you will move beyond standard machine learning implementations to pioneer next-generation Generative AI architectures. You will be responsible for building the frameworks that power autonomous decision-making, ethical AI integration, and scalable neural networks. If you are a technologist who thrives on ambiguity and aims to leave a lasting legacy in the tech landscape, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that will define the next decade of AI.
- Competitive compensation package including equity.
- Flexible remote-first culture with hubs in SF, NYC, and Austin.
- Access to state-of-the-art compute resources and research libraries.
Responsibilities
- Architect Next-Gen Systems: Design scalable, fault-tolerant AI architectures capable of handling billions of data points in real-time.
- R&D Leadership: Spearhead research into Large Language Models (LLMs), Transformers, and Reinforcement Learning environments.
- Model Deployment: Oversee the full lifecycle of ML models, from prototyping in Jupyter to production deployment via Kubernetes and MLOps pipelines.
- Ethical AI Oversight: Ensure all deployed models adhere to rigorous ethical standards, bias mitigation protocols, and regulatory compliance (GDPR/CCPA).
- Tech Stack Evangelism: Mentor engineering teams, conduct code reviews, and establish technical best practices for AI development.
- Strategic Vision: Translate high-level business goals into concrete AI technical roadmaps that drive competitive advantage.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a Senior or Lead capacity.
- Technical Mastery: Deep proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
- Infrastructure: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- AI Specialization: Proven track record of working with NLP, Computer Vision, or Generative AI models.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.