Job Description
Are you ready to architect the future of intelligence?
Nexus Future Systems is a pioneer in next-generation artificial intelligence, building the foundational models that will define the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our research and engineering initiatives. If you are passionate about pushing the boundaries of what's possible with Large Language Models (LLMs) and Generative AI, this is your opportunity to shape the future.
In this high-impact role, you will bridge the gap between theoretical research and scalable production systems, ensuring our AI solutions are not only cutting-edge but also ethical, efficient, and transformative.
Responsibilities
- Lead the architecture and development of state-of-the-art Generative AI models, specifically targeting the capabilities required for the 2026 market landscape.
- Design scalable MLOps pipelines to support continuous training, deployment, and monitoring of large-scale models.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical AI solutions.
- Establish best practices for data governance, model explainability, and bias mitigation in AI systems.
- Conduct deep research into emerging AI architectures and evaluate their feasibility for integration into our product suite.
- Drive the optimization of model inference latency and cost-efficiency on cloud infrastructure.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent professional experience).
- Deep expertise in Python, PyTorch, or TensorFlow, with a proven track record of deploying complex models to production.
- Extensive experience with LLMs (e.g., GPT, BERT, Llama) and fine-tuning techniques (PEFT, LoRA, RLHF).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong understanding of distributed systems, high-availability architectures, and system performance optimization.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.