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Senior AI Architect - Generative Intelligence

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of our generative intelligence platform for the year 2026 and beyond. As we stand at the precipice of the next technological leap, you will be responsible for designing scalable, secure, and ethical AI systems that redefine human-computer interaction. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and multimodal AI, this is your opportunity to shape the future.

Why Join Us?

  • Work on cutting-edge AI research that will define the landscape for 2026.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art office amenities in the heart of San Francisco.
  • Opportunity to mentor a team of world-class engineers and researchers.

Responsibilities

  • Design and architect high-performance systems for large-scale generative AI models.
  • Optimize inference pipelines and reduce latency for real-time AI applications.
  • Collaborate with product managers and engineers to define technical roadmaps for 2026-ready features.
  • Ensure AI models are fair, transparent, and aligned with safety guidelines.
  • Research and prototype novel architectures, including RAG (Retrieval-Augmented Generation) and fine-tuning strategies.
  • Lead code reviews and establish best practices for machine learning engineering.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5+ years of experience in building production-grade AI/ML systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face.
  • Proven track record of working with LLMs (e.g., GPT, BERT, Llama) and transformer architectures.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of data engineering, ETL processes, and vector databases.
  • Excellent communication skills and ability to translate complex technical concepts for stakeholders.

Required Skills

Python PyTorch TensorFlow Large Language Models Machine Learning MLOps Cloud Computing Docker Kubernetes Generative AI NLP Vector Databases

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