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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect

Nexus AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are pioneering the next generation of autonomous intelligent systems. As a Senior AI Architect, you will be at the forefront of developing scalable machine learning models that define the technological landscape of 2026 and beyond. We are looking for a visionary engineer who doesn't just write code but architects the future of human-machine interaction.

Why Join Us?

  • Future-Proof Technology: Work with cutting-edge Large Language Models (LLMs) and Generative AI frameworks.
  • Competitive Compensation: Top-tier salary and equity packages.
  • Global Impact: Your work will power solutions used by millions worldwide.

If you are ready to lead the charge in AI innovation, we want to hear from you.

Responsibilities

  • Architect Design: Design and implement robust, scalable AI infrastructure to support high-volume, low-latency applications.
  • Model Optimization: Fine-tune and optimize large-scale neural networks for production environments, focusing on efficiency and accuracy.
  • Research & Development: Stay ahead of industry trends in Generative AI and propose innovative solutions to complex business problems.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Cross-Functional Collaboration: Partner with product managers and engineers to translate business requirements into technical architectures.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on deep learning.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with MLOps tools (Kubernetes, Docker) is essential.
  • Language Model Expertise: Strong understanding of transformer architectures and LLM fine-tuning techniques (RLHF, PEFT).
  • Problem Solving: Exceptional ability to debug complex distributed systems and optimize performance bottlenecks.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch NLP LLM MLOps Kubernetes Docker AI Architecture

Ready to Take This Challenge?

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

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