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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Visionary)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join the Architects of the Future

We are seeking a visionary Senior AI Architect to lead our groundbreaking initiatives in Generative AI and Autonomous Systems. As we prepare for the technological landscape of 2026, you will be at the forefront of building scalable, ethical, and high-performance AI models that redefine human-computer interaction. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and Agentic workflows, this is your opportunity to shape the next decade of innovation.

Why Join Us?

  • Work on mission-critical AI infrastructure that impacts millions.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first culture with premium office amenities in the heart of SF.
  • Access to cutting-edge compute resources and the latest hardware.

Responsibilities

  • Architect and deploy next-generation Generative AI models optimized for 2026 standards.
  • Lead the design of complex Multi-Agent Systems capable of autonomous decision-making.
  • Implement and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise data integration.
  • Ensure model safety, bias mitigation, and robustness through rigorous testing and evaluation frameworks.
  • Mentor a team of machine learning engineers and data scientists to foster a culture of excellence.
  • Collaborate with product and engineering teams to translate business goals into technical roadmaps.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Natural Language Processing (NLP) and Transformer architectures.
  • Experience with LLM fine-tuning, PEFT, and model quantization techniques.
  • Familiarity with MLOps tools (MLflow, Kubeflow, Seldon) and cloud platforms (AWS, GCP, or Azure).

Required Skills

Python Machine Learning Natural Language Processing Deep Learning PyTorch TensorFlow LLM MLOps AWS GCP Generative AI

Ready to Take This Challenge?

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