Job Description
Are you ready to define the future of artificial intelligence? Nexus Horizon is seeking a visionary Senior AI Architect to lead our 2026 roadmap and shape the next generation of intelligent systems.
We are at the forefront of the AI revolution, building scalable infrastructure for autonomous agents, generative models, and predictive analytics. As a Senior AI Architect, you will bridge the gap between theoretical research and production-grade deployment, ensuring our technology remains ahead of the curve in the rapidly evolving landscape of 2026.
Why Join Us?
- Work on mission-critical projects that define the future.
- Competitive compensation package with equity options.
- Flexible remote and hybrid work environment.
The Role:
You will be responsible for the end-to-end architecture of our AI platforms, guiding a team of engineers and data scientists to deliver high-performance solutions.
Responsibilities
- Architect and implement scalable, high-performance AI infrastructure for 2026 and beyond.
- Lead the design and deployment of next-generation Large Language Models (LLMs) and generative AI systems.
- Define the technical vision and roadmap for the company's AI initiatives, ensuring alignment with business goals.
- Oversee MLOps pipelines to ensure model reliability, retraining, and monitoring in production environments.
- Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI solutions seamlessly.
- Establish best practices for code quality, security, and ethical AI usage.
Qualifications
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of designing and deploying LLMs and Transformer architectures at scale.
- Strong background in distributed systems, cloud computing (AWS, GCP, or Azure), and containerization (Docker, Kubernetes).
- Experience with MLOps frameworks (MLflow, Kubeflow) and CI/CD pipelines.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Artificial Intelligence, or a related field.