Job Description
Are you ready to architect the digital landscape of 2026?
At Horizon Systems, we are not just building for today; we are engineering the infrastructure that will power the next era of human-machine collaboration. As we prepare to redefine the boundaries of AI and cloud scalability, we are seeking a visionary Future-Ready AI Systems Architect to lead our mission.
In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence and robust, scalable enterprise architecture. You will be responsible for designing systems that are resilient, intelligent, and future-proof, ensuring our platform remains at the forefront of innovation as we approach the 2026 technological paradigm shift.
Why Join Us?
- Work on projects that directly shape the future of global tech.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art offices in San Francisco.
- Access to the latest AI and quantum computing research.
Responsibilities
- Design and deploy scalable, fault-tolerant AI infrastructure capable of handling exabyte-scale data processing for 2026 workloads.
- Lead the architectural migration of legacy monolithic systems to microservices and serverless architectures.
- Define and implement best practices for data governance, ethics, and security in AI model deployment.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical blueprints.
- Conduct rigorous load testing and stress testing to ensure system stability under peak demand.
- Stay ahead of emerging technologies (e.g., Generative AI, Edge Computing) and integrate them into our core tech stack.
Qualifications
- 10+ years of experience in Systems Architecture, Cloud Computing, or Software Engineering.
- Deep expertise in designing distributed systems using AWS, Azure, or GCP.
- Strong proficiency in Python, Java, or Go with a focus on AI integration.
- Proven track record of implementing containerization solutions with Kubernetes and Docker.
- Experience with MLOps, CI/CD pipelines, and infrastructure-as-code (Terraform/CloudFormation).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.