Job Description
We are pioneering the next generation of artificial intelligence infrastructure designed for the year 2026 and beyond. Nexus Horizon is seeking a visionary Senior AI Architect to lead the development of autonomous agents, advanced generative models, and adaptive learning systems.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments. You will be responsible for architecting systems that are not only powerful but also resilient, ethical, and capable of operating in decentralized, future-proof architectures.
Why Join Us?
- Work on cutting-edge AI research with direct impact on global enterprise solutions.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in San Francisco.
Are you ready to define the future of technology? Apply now.
Responsibilities
- Design and implement scalable AI/ML architectures for next-generation generative models and autonomous agents.
- Lead the technical strategy for integrating LLMs with real-time data streams and edge computing environments.
- Optimize model performance, latency, and throughput to support high-volume enterprise applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Establish best practices for MLOps, model governance, and ethical AI deployment.
- Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 6+ years of experience in designing and deploying large-scale machine learning systems.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of implementing Transformer architectures and Large Language Models (LLMs).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong understanding of software engineering principles, including system design, API development, and CI/CD pipelines.