Job Description
We are looking for a visionary Lead AI Architect to join Nexus Horizon Systems and spearhead Project 2026, our mission to redefine the boundaries of artificial general intelligence.
In this pivotal role, you will be responsible for architecting the foundational infrastructure required to deploy next-generation autonomous agents. You will work at the intersection of theoretical research and high-scale engineering, ensuring our systems are resilient, scalable, and secure for future-proof applications.
Why You'll Love It Here:
- Work on cutting-edge AI infrastructure that shapes the future.
- Competitive compensation and equity package.
- Flexible remote-first work culture with global collaboration opportunities.
What You'll Do:
Collaborate with senior leadership to define technical roadmaps for 2026 and beyond. You will lead a team of brilliant engineers in building machine learning pipelines that handle petabytes of data in real-time.
Responsibilities
- Design and implement scalable, fault-tolerant machine learning pipelines optimized for high-throughput data processing.
- Lead the architectural strategy for Project 2026, integrating generative AI models with enterprise cloud infrastructure.
- Mentor and guide a high-performing team of Data Scientists and ML Engineers.
- Optimize model inference latency and resource utilization across distributed environments.
- Establish best practices for MLOps, CI/CD, and automated testing in AI workflows.
- Conduct rigorous code reviews and architectural reviews to ensure system integrity.
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 distributed computing frameworks.
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and Kubernetes.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.