Job Description
We are on the precipice of a technological revolution, and Apex Horizon Systems is looking for a visionary Senior AI Architect to lead our engineering strategy for the 2026 landscape. In this pivotal role, you will define the architectural blueprints for the next generation of autonomous agents and generative AI systems. You will bridge the gap between theoretical AI advancements and scalable, production-ready infrastructure.
As a key leader in our technical team, you will be responsible for charting the course for our AI initiatives, ensuring our solutions are robust, secure, and at the forefront of innovation. If you have a passion for the future of technology and a knack for complex problem-solving, we want to hear from you.
Why Join Us?
- Work with cutting-edge technologies expected to dominate the 2026 market.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a collaborative San Francisco office.
Responsibilities
- Architect and design scalable, high-performance AI infrastructure specifically tailored for the 2026 technological ecosystem.
- Lead the research and integration of emerging AI paradigms, including Agentic AI and Edge Computing.
- Oversee the full machine learning lifecycle, from data strategy model deployment to continuous optimization.
- Collaborate with cross-functional teams (Product, Engineering, Data Science) to translate business goals into technical roadmaps.
- Ensure system reliability, security, and scalability across distributed cloud environments.
- Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Proven experience designing large-scale distributed systems and cloud-native applications (AWS, GCP, or Azure).
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning concepts.
- Excellent communication skills with the ability to articulate complex technical strategies to non-technical stakeholders.
- Demonstrated leadership experience in guiding technical teams through complex projects.