Job Description
We are at the precipice of a new era. As the 2026 AI Systems Architect, you won't just be building software; you will be architecting the intelligence that will define the next decade. At Apex Horizon Systems, we are committed to pushing the boundaries of what is possible, and we need a visionary leader to guide our roadmap.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will be responsible for the high-level design of our core AI infrastructure, ensuring it is scalable, secure, and capable of supporting breakthrough innovations by the year 2026.
Responsibilities
- Define and execute the long-term architectural vision for the 2026 AI ecosystem, ensuring alignment with business goals.
- Lead the design of scalable distributed systems and high-performance computing clusters for deep learning models.
- Collaborate with cross-functional teams including Data Scientists, Product Managers, and Security Experts.
- Establish best practices for MLOps, model deployment, and continuous integration/continuous deployment (CI/CD) pipelines.
- Conduct technical assessments and proof-of-concepts for emerging technologies to future-proof our infrastructure.
- Mentor senior engineers and guide the technical direction of junior team members.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
- Extensive experience (10+ years) designing complex, large-scale software systems in a high-paced environment.
- Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and distributed computing (Kubernetes, Spark).
- Proven track record of leading technical teams and driving architectural decisions in AI/ML domains.
- Strong proficiency in programming languages such as Python, C++, or Java.
- Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architectures.