Job Description
Are you ready to architect the technological landscape of 2026? Nexus Horizon Systems is at the forefront of defining the future of intelligent automation and generative AI. We are seeking a visionary Senior AI Architect to lead our research and engineering initiatives aimed at shaping the capabilities of 2026 and beyond.
In this pivotal role, you will design scalable, robust AI infrastructures that push the boundaries of what is possible. You will work closely with a world-class team of data scientists, engineers, and product leaders to deploy cutting-edge machine learning models that solve complex real-world problems. If you have a passion for ethical AI, large language models, and autonomous systems, we want to hear from you.
Why Join Us?
- Work on groundbreaking projects that define the next generation of technology.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a vibrant San Francisco hub.
- Continuous learning opportunities and access to state-of-the-art resources.
Responsibilities
- Lead the architectural design and implementation of AI systems focused on 2026 readiness, including Generative AI and Autonomous Agents.
- Define and drive the technical vision for our machine learning infrastructure, ensuring scalability, security, and efficiency.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Optimize existing models for performance and cost, deploying them on cloud-native environments.
- Establish best practices for data governance, model monitoring, and ethical AI usage.
- Conduct research and prototype novel algorithms to stay ahead of industry trends.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior architectural or lead role.
- Extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and large language model (LLM) development.
- Strong proficiency in Python, SQL, and cloud platforms (AWS, GCP, or Azure).
- Proven track record of deploying scalable AI solutions to production environments.
- Demonstrated ability to mentor junior engineers and foster a culture of innovation.