Job Description
Are you ready to architect the future of intelligence? Nexus Horizon Technologies is looking for a visionary Future-Ready AI Infrastructure Architect to lead our next-generation data ecosystems. In this role, you will bridge the gap between theoretical AI models and scalable, high-performance production environments, ensuring our systems are resilient, secure, and ready for the challenges of 2026 and beyond.
We are a pioneer in next-gen cognitive computing, building the digital nervous system for the global enterprise. If you have a passion for optimizing neural networks, designing fault-tolerant cloud architectures, and pioneering the tools of tomorrow, we want to meet you.
Why Join Nexus Horizon?
- Work on cutting-edge projects that define the technology landscape.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with state-of-the-art offices.
Responsibilities
- Design and implement high-availability, scalable infrastructure for Large Language Models (LLMs) and Generative AI applications.
- Optimize data pipelines and model inference latency to support real-time processing.
- Collaborate with data scientists to translate research prototypes into production-grade software.
- Establish security protocols and governance frameworks for sensitive AI data.
- Drive the adoption of edge computing solutions to decentralize AI processing.
- Conduct architectural reviews and mentor junior engineers on best practices for cloud-native development.
- Stay ahead of industry trends in quantum computing and neuromorphic engineering.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML infrastructure.
- Deep expertise in Python, C++, and at least one major cloud provider (AWS, GCP, or Azure).
- Proven experience deploying containerized applications using Docker and Kubernetes.
- Strong understanding of MLOps, CI/CD pipelines, and model versioning strategies.
- Familiarity with distributed systems theory and high-performance computing concepts.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.