Job Description
We are on the precipice of a new era in technology. At Nexus 2026, we are not just building software; we are architecting the future of human-machine interaction for the next decade. We are seeking a visionary Senior Artificial Intelligence Architect to lead our research and development division, focusing on next-generation Generative AI, Large Language Models, and autonomous agents.
In this pivotal role, you will define the technical roadmap for our flagship products, ensuring our solutions are not only cutting-edge but scalable and ethically responsible. You will collaborate with cross-functional teams of data scientists, engineers, and product designers to transform theoretical breakthroughs into tangible, real-world applications. If you are passionate about the 2026 horizon and want to shape the technological landscape of tomorrow, apply today.
Responsibilities
- Lead Research & Development: Spearhead the design and implementation of advanced AI architectures, including Transformer models and diffusion systems, to drive innovation.
- Technical Strategy: Define the long-term technical vision for Nexus 2026, bridging the gap between theoretical research and practical engineering deployment.
- Model Optimization: Oversee the training, fine-tuning, and optimization of large-scale models to ensure high performance, low latency, and cost efficiency.
- Mentorship: Guide and mentor a team of talented data scientists and ML engineers, fostering a culture of technical excellence and continuous learning.
- System Architecture: Design robust data pipelines and infrastructure capable of handling billions of parameters and real-time inference.
- Ethical AI Compliance: Ensure all AI systems adhere to strict ethical guidelines and safety protocols, mitigating bias and ensuring fairness.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: Minimum of 8+ years of experience in software engineering or machine learning, with at least 3 years in a senior architectural role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience with Hugging Face, LangChain, or similar LLM frameworks.
- System Design: Strong background in distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Problem Solving: Exceptional ability to solve complex, ambiguous problems and translate them into scalable technical solutions.
- Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.