Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of next-generation generative models that define the technological landscape of 2026 and beyond.
We are a forward-thinking organization pushing the boundaries of Artificial General Intelligence (AGI). As a Senior AI Architect, you won't just write code; you will design the neural architectures that power the future of enterprise automation and human-machine interaction. This is a rare opportunity to join a high-impact team where your work will shape the trajectory of AI adoption in the coming decade.
Why Join Us?
- Impact at Scale: Deploy models that influence millions of users globally.
- Future-Proof Your Career: Work on cutting-edge LLMs and reinforcement learning systems.
- Competitive Compensation: Generous salary, equity package, and full benefits.
We are looking for a technical leader who combines deep algorithmic knowledge with strategic thinking.
Responsibilities
- Design and implement scalable, distributed neural network architectures for large-scale LLM training and inference.
- Lead the research and development of novel algorithms to improve model efficiency, accuracy, and reduce hallucinations.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical AI solutions.
- Optimize training pipelines on massive GPU clusters, ensuring cost-effective and high-performance compute utilization.
- Establish best practices for model monitoring, MLOps, and ethical AI deployment.
- Stay at the forefront of industry trends (e.g., Transformers, Diffusion models) and evaluate emerging technologies for integration.
- Mentor junior engineers and define technical roadmaps for the AI infrastructure team.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, or a related field with 5+ years of industry experience in AI/ML.
- Extensive experience building and deploying Large Language Models (LLMs) and generative AI systems.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed systems, cloud infrastructure (AWS/GCP), and high-performance computing.
- Strong grasp of machine learning theory, including optimization techniques, probabilistic modeling, and deep reinforcement learning.
- Proven track record of leading engineering teams and driving technical projects from conception to production.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.