Job Description
We are looking for a visionary Senior AI Architect to lead our cutting-edge research division focused on the technological landscape of 2026 and beyond. At Apex Horizon Systems, we are building the infrastructure for tomorrow. In this role, you will not just write code; you will architect the neural networks and intelligent systems that will define the next generation of human-machine interaction.
You will work in a dynamic, high-performance environment where innovation is the only metric that matters. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence, Deep Learning, and Predictive Analytics, we want to hear from you.
Why Join Us?
- Work on projects with a direct impact on the global market.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium office amenities in the heart of San Francisco.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Design and implement scalable AI and Machine Learning architectures tailored for 2026 infrastructure demands.
- Lead the research and development of novel algorithms to solve complex, unstructured problems.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
- Mentor junior developers and data scientists, fostering a culture of continuous learning and technical excellence.
- Optimize existing models for speed, accuracy, and efficiency in production environments.
- Stay at the forefront of industry trends, specifically regarding Generative AI and Autonomous Systems.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- Minimum of 7+ years of professional experience in software engineering and machine learning.
- Deep proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Proven track record of deploying large-scale AI models into production.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.