Job Description
We are building the next generation of autonomous systems, and we are looking for a visionary Senior AI Architect to lead our research initiatives aimed at the 2026 market landscape.
About Nexus Horizon Labs
Nexus Horizon Labs is at the forefront of generative intelligence and predictive analytics. We are a remote-first collective of engineers, designers, and strategists dedicated to solving humanity's hardest problems through scalable AI solutions. If you are passionate about the intersection of ethics and technology, we want to hear from you.
Why Join Us?
- Competitive equity package and performance bonuses.
- Flexible remote-first work culture.
- Access to cutting-edge hardware and compute resources.
- Opportunity to define the standards for AI in the 2026 era.
As a Senior AI Architect, You Will:
- Design and deploy scalable deep learning models for large-scale data processing.
- Lead the architectural strategy for integrating LLMs into enterprise workflows.
- Collaborate with cross-functional teams to translate technical requirements into product features.
- Mentor junior engineers and conduct code reviews to ensure best practices.
- Stay ahead of industry trends to ensure our technology remains future-proof.
Requirements:
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in machine learning, deep learning, or artificial intelligence.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Experience with MLOps, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade AI systems.
Ready to build the future? Apply today.
Responsibilities
- Architect and optimize large-scale neural networks for real-time inference.
- Drive the implementation of ethical AI frameworks and bias mitigation strategies.
- Conduct rigorous testing and validation of model performance and accuracy.
- Research and prototype novel algorithms to solve complex business problems.
- Manage the full lifecycle of machine learning models from data ingestion to deployment.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
- Expert knowledge of statistical analysis and machine learning algorithms.
- Hands-on experience with NLP, Computer Vision, or Reinforcement Learning.
- Strong understanding of software engineering principles and software design patterns.
- Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders.