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Senior Generative AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are seeking a visionary Senior Generative AI Architect to lead the development of next-generation artificial intelligence systems. As we pioneer the technological landscape of 2026, you will be responsible for designing scalable architectures that push the boundaries of Large Language Models (LLMs) and autonomous agents. Join a team of elite engineers dedicated to building the future of human-computer interaction.

Why Join Us?

  • Work on cutting-edge R&D projects that define the industry standard.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first culture with access to top-tier infrastructure.

Responsibilities

  • Design and deploy state-of-the-art Generative AI models using PyTorch and TensorFlow.
  • Lead research initiatives in prompt engineering, fine-tuning, and reinforcement learning from human feedback (RLHF).
  • Optimize model inference latency and cost efficiency for large-scale production environments.
  • Collaborate with product managers and engineers to integrate AI capabilities into core business solutions.
  • Establish and enforce best practices for AI ethics, safety, and bias mitigation.
  • Mentor junior engineers and contribute to the technical roadmap for future innovations.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in Machine Learning and Deep Learning engineering.
  • Expert knowledge of transformer architectures and Natural Language Processing (NLP).
  • Proven experience deploying and scaling models in cloud environments (AWS, GCP, or Azure).
  • Strong proficiency in Python, SQL, and modern web frameworks.
  • Experience with MLOps tools such as MLflow, Docker, and Kubernetes.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Hugging Face Prompt Engineering MLOps AWS Docker Kubernetes Reinforcement Learning Transformer Models

Ready to Take This Challenge?

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