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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Future Labs as we redefine the boundaries of artificial intelligence. We are looking for a Senior AI Architect (2026 Vision) to spearhead the development of our next-generation autonomous systems. In this role, you will not just build algorithms; you will architect the intelligence layer that powers our products through the year 2026 and beyond.


You will work in a high-performance environment focused on ethical AI, scalable neural networks, and the integration of quantum computing paradigms. If you are passionate about the future of tech and want to leave a lasting legacy in the industry, this is your opportunity.

Responsibilities

  • Architect and lead the development of proprietary Large Language Models (LLMs) and generative AI frameworks.
  • Define the technical roadmap for AI integration, ensuring scalability and resilience for the 2026 product cycle.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into technical solutions.
  • Implement best practices for AI ethics, bias mitigation, and data privacy compliance.
  • Optimize deep learning models for low-latency, high-throughput performance in cloud and edge environments.
  • Conduct research and proof-of-concepts for emerging technologies such as Neuromorphic Computing.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 10+ years of professional experience in software engineering, with at least 5 years in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern MLOps tools.
  • Deep understanding of neural network architectures, transformer models, and reinforcement learning.
  • Strong experience with distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Demonstrated ability to lead technical strategy and mentor junior engineers.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Cloud Computing AI Architecture Neural Networks Leadership

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