Job Description
The Future of AI is Here. Nexus Future Labs is pioneering the next generation of artificial intelligence, and we are seeking a visionary Senior AI Architect to lead our R&D efforts for the 2026 roadmap. In this role, you will be at the forefront of developing next-generation Large Language Models and autonomous AI agents. We are not just building software; we are defining the future of human-machine interaction. Join us in building the intelligent systems that will power the world tomorrow.
Why Join Us?
We offer a competitive compensation package, comprehensive health benefits, and the opportunity to work in a dynamic, collaborative environment with some of the brightest minds in the industry. If you are passionate about pushing the boundaries of what is possible in AI, we want to hear from you.
Responsibilities
- Lead AI Research & Development: Spearhead the architectural design and implementation of cutting-edge Generative AI models and LLMs tailored for enterprise-scale applications.
- Optimize Inference Pipelines: Design high-performance, low-latency systems for deploying large models in production environments, ensuring scalability and efficiency.
- Build Autonomous Agents: Develop sophisticated AI agents capable of complex reasoning, multi-step planning, and seamless human collaboration.
- MLOps & Infrastructure: Establish robust MLOps pipelines to manage the full machine learning lifecycle, from experimentation to deployment and monitoring.
- Ethical AI Compliance: Implement and enforce best practices for fairness, transparency, and safety in AI model training and deployment.
- Cross-Functional Leadership: Partner with product managers, engineers, and stakeholders to translate complex technical requirements into innovative solutions.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years leading technical initiatives in Generative AI or LLMs.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of Deep Learning architectures and NLP.
- Cloud Expertise: Experience deploying models on cloud platforms (AWS, GCP, or Azure) using containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to tackle complex algorithmic challenges and optimize system performance under pressure.
- Communication: Exceptional written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.