Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead the development of our proprietary Generative AI frameworks designed for the 2026 era.
We are building the foundation for the next generation of autonomous systems. As a key leader in our R&D division, you will define the architecture of Large Language Models (LLMs) and multimodal systems that will power enterprise solutions globally. This is not just a job; it is an opportunity to shape the technological landscape of the near future.
Why join us?
We offer competitive compensation, stock options, and a remote-first culture focused on high-impact work.
Responsibilities
- Architect Design: Design and implement scalable, distributed AI infrastructure and deep learning models for the 2026 roadmap.
- Model Optimization: Lead the optimization of inference latency and resource efficiency for large-scale transformer models.
- R&D Leadership: Collaborate with a world-class team of data scientists and researchers to pioneer new algorithms.
- Technical Strategy: Define technical roadmaps and best practices for AI safety, ethics, and deployment.
- Cross-functional Collaboration: Partner with product and engineering teams to translate cutting-edge research into production-ready features.
- Talent Mentorship: Mentor junior engineers and guide the technical direction of the AI engineering squad.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of professional experience in machine learning engineering or AI research.
- Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Ray, Kubernetes).
- Modeling: Extensive experience with Transformer architectures, NLP, and generative model training.
- Problem Solving: Proven track record of solving complex, large-scale engineering challenges.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.