Job Description
We are pioneering the next era of intelligent automation. Nexus Future Systems is seeking a visionary Senior AI Architect to lead our research and development division focused on technologies emerging in the 2026 landscape. You will be at the forefront of building scalable, ethical, and high-performance AI systems that redefine user interaction.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and practical, production-grade engineering. If you are passionate about the future of Generative AI and want to shape the architecture of tomorrow, we want to meet you.
Why Join Us?
- Work on cutting-edge projects with a competitive salary and equity package.
- Flexible remote-first policy with headquarters in the heart of Silicon Valley.
- Access to top-tier hardware and cloud resources for research.
Responsibilities
- Architect & Deploy: Design and implement robust, scalable AI infrastructure for large-scale Generative Models and Autonomous Agents.
- Model Optimization: Apply advanced quantization, pruning, and distillation techniques to reduce inference costs while maintaining model accuracy.
- RAG Pipelines: Build and optimize Retrieval-Augmented Generation systems to ensure data privacy and relevance.
- AI Safety & Ethics: Implement guardrails and alignment techniques to ensure AI outputs are safe, unbiased, and compliant with evolving regulations.
- Collaboration: Partner with product managers and data scientists to translate complex requirements into technical roadmaps.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 5+ years of professional experience in software engineering with a strong focus on AI/ML.
- Technical Stack: Deep proficiency in Python, PyTorch, and modern MLOps tools (Docker, Kubernetes, MLflow).
- Knowledge: Extensive experience with Transformer architectures, LLM fine-tuning, and Prompt Engineering.
- Problem Solving: Demonstrated ability to solve complex system design challenges and optimize high-traffic applications.