Job Description
We are on the forefront of the 2026 technology revolution. Nexus Future Systems is building the operating system for Artificial General Intelligence. We are looking for a brilliant Senior AI Architect to design and deploy the next generation of Generative AI models.
The Role
In this pivotal position, you will bridge the gap between theoretical research and production-scale deployment. You will lead a team of data scientists and engineers in building ethical, scalable, and high-performance AI systems that will redefine human-machine interaction.
Key Benefits
- Competitive equity package and performance bonuses.
- Flexible remote-first policy with quarterly team retreats.
- Unlimited PTO and comprehensive health benefits.
- Access to the latest GPU clusters and research resources.
Responsibilities
- Architecture Design: Design and implement scalable AI infrastructure, focusing on Large Language Models (LLMs) and transformer architectures.
- Model Development: Lead the end-to-end lifecycle of AI model development, from data preprocessing and training to fine-tuning and evaluation.
- Research Leadership: Stay ahead of the curve in AI research, exploring novel architectures and optimization techniques for 2026 and beyond.
- Production Deployment: Ensure models are deployed in a secure, efficient, and cost-effective manner within cloud environments (AWS/GCP).
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Compliance: Implement rigorous data governance and ethical AI guidelines to ensure fairness and transparency in our models.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- Experience: 5+ years of professional experience in software engineering or data science, with a focus on deep learning.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Deep experience with Hugging Face, LangChain, or similar LLM frameworks.
- Algorithm Knowledge: Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- System Design: Proven track record of designing high-availability systems and optimizing inference latency.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.