Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision) - San Francisco

Nexus AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of Intelligence


We are building the foundational models that will define the technological landscape of 2026. Nexus AI Systems is seeking a visionary Senior AI Architect to lead our next-generation Generative AI initiatives. In this role, you will push the boundaries of Large Language Models (LLMs) and autonomous agents, creating systems that are not just smart, but truly adaptable.

Join a team of elite engineers and researchers dedicated to solving humanity's most complex challenges through advanced artificial intelligence.


Why Join Us?

  • Work on cutting-edge Agentic AI workflows.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with premium San Francisco HQ amenities.

Responsibilities

  • Design & Architect: Lead the end-to-end design and implementation of scalable AI architectures for Generative AI and LLM applications.
  • Model Optimization: Fine-tune and optimize state-of-the-art models (e.g., Llama 3, GPT-4 equivalents) for specific industry verticals, focusing on inference speed and cost efficiency.
  • Research & Development: Stay ahead of the curve by researching novel techniques in Reinforcement Learning from Human Feedback (RLHF) and Chain-of-Thought reasoning.
  • Infrastructure: Build and maintain robust MLOps pipelines to ensure seamless deployment, monitoring, and scaling of AI services.
  • Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of experience in machine learning, deep learning, or AI engineering.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with GPU acceleration (CUDA).
  • Modeling: Deep understanding of Transformer architectures, LLMs, and prompt engineering techniques.
  • Problem Solving: Proven track record of solving complex optimization problems in high-scale environments.
  • Communication: Excellent ability to translate complex technical concepts into clear business value for stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning LLMs MLOps CUDA Reinforcement Learning NLP Data Science

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All