Job Description
Are you ready to architect the future of technology? Vertex Horizon is seeking a visionary Senior AI Systems Architect to lead our initiatives for the year 2026 and beyond. In this pivotal role, you will define the technical backbone of our next-generation AI infrastructure, ensuring scalability, security, and ethical compliance in a rapidly evolving landscape.
We are not just building software; we are preparing the digital foundation for the next decade. If you thrive in high-pressure environments, possess deep technical expertise, and want to leave a lasting impact on the global tech ecosystem, we want to hear from you.
Why Join Us?
- Work with cutting-edge technologies in Generative AI and Quantum Readiness.
- Competitive compensation and equity package.
- Flexible remote-first policy with a premium office in San Francisco.
- Opportunity to shape company-wide technical strategy.
Responsibilities
- Design and deploy scalable AI architectures that align with the 2026 strategic roadmap.
- Lead the technical evaluation and integration of emerging technologies (e.g., LLMs, Edge Computing).
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Establish best practices for data governance, security, and model performance monitoring.
- Mentor junior engineers and foster a culture of continuous innovation and learning.
- Conduct architectural reviews to ensure code quality and adherence to industry standards.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI or Systems Architecture.
- Deep expertise in Python, Rust, or Go, and familiarity with major cloud providers (AWS, GCP, Azure).
- Proven track record of leading large-scale system migrations and modernization projects.
- Strong understanding of Machine Learning pipelines, MLOps, and data infrastructure.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).