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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to architect the intelligence layer of tomorrow? Nexus Future Labs is seeking a visionary Senior AI Architect to lead the development of our next-generation generative AI systems. We are building the foundational technologies that will define the AI landscape in 2026 and beyond.

In this role, you will bridge the gap between theoretical research and scalable production engineering. You will design and implement robust AI agents, optimize large language models (LLMs), and ensure our systems are secure, efficient, and ready for enterprise adoption.

Why Join Us?

  • Work on cutting-edge AI technology that will shape the future.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Design and deploy scalable AI architectures focusing on Generative AI and Agentic workflows.
  • Optimize pre-trained large language models (LLMs) for specific enterprise use cases.
  • Collaborate with cross-functional teams to integrate AI solutions into existing products.
  • Implement rigorous testing and validation pipelines for model reliability.
  • Establish best practices for AI ethics, bias mitigation, and data privacy.
  • Mentor junior engineers and contribute to the long-term technical vision.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of experience in software engineering with a focus on AI/ML.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Experience with vector databases (Pinecone, Weaviate) and LLM orchestration frameworks (LangChain, LlamaIndex).
  • Strong understanding of MLOps and cloud deployment (AWS/GCP).
  • Expertise in prompt engineering and fine-tuning methodologies.

Required Skills

Python PyTorch TensorFlow Large Language Models MLOps NLP AI Architecture AWS GCP Prompt Engineering

Ready to Take This Challenge?

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