Job Description
Are you ready to architect the AI landscape of tomorrow?
Nexus Horizon AI is seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems. As we gear up for the transformative era of 2026, we need a technical expert who can bridge the gap between theoretical breakthroughs and scalable production infrastructure.
In this pivotal role, you will define the architectural framework for our flagship neural engines, ensuring they are not only powerful but also ethical and efficient. If you are passionate about pushing the boundaries of what's possible in Machine Learning and Deep Learning, we want to hear from you.
Why join us?
- Work on state-of-the-art Generative AI and Large Language Models.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a vibrant SF hub.
Join us in shaping the future of intelligence.
Responsibilities
- Architect Scalable Systems: Design and implement robust, high-availability AI infrastructure capable of processing petabytes of data in real-time.
- Lead Research & Development: Spearhead research initiatives focused on Transformer architectures and reinforcement learning to stay ahead of the 2026 technology curve.
- Model Optimization: Fine-tune and optimize pre-trained models for specific industry verticals to maximize performance and reduce latency.
- Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable development roadmaps.
- Risk Management: Identify potential biases and security vulnerabilities in AI models and implement mitigation strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior architectural role.
- Tech Stack: Deep proficiency in Python, PyTorch, or TensorFlow. Experience with distributed computing frameworks (Ray, Kubernetes).
- Domain Knowledge: Strong background in Natural Language Processing (NLP) and Computer Vision.
- Cloud Expertise: Proven track record deploying models on AWS, GCP, or Azure.
- Soft Skills: Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders.