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Senior AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of the future? Nexus Future Systems is seeking a visionary Senior AI Architect (2026 Vision) to lead our cutting-edge research and development division.

In an era defined by rapid innovation, we are building the infrastructure for tomorrow. You will be at the forefront of integrating Generative AI, Quantum Computing concepts, and Sustainable Tech stacks. This is not just a job; it is an opportunity to shape the trajectory of AI until 2026 and beyond.

We offer a competitive compensation package, comprehensive benefits, and a culture that fosters creativity and technical excellence. If you are passionate about the future of technology and want to leave a lasting impact, we want to hear from you.

Responsibilities

  • Architect and deploy scalable Generative AI models and Large Language Models (LLMs) tailored for enterprise applications.
  • Lead the R&D strategy for emerging technologies, focusing on the convergence of AI and Web3.
  • Design secure, high-performance cloud-native infrastructure using AWS, Azure, or Google Cloud Platform.
  • Collaborate with cross-functional teams to translate complex technical requirements into actionable product roadmaps.
  • Implement rigorous testing protocols and ethical guidelines for autonomous AI systems.
  • Drive technical innovation to stay ahead of industry trends and competitor analysis.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software architecture, with at least 3 years specializing in AI/ML frameworks (TensorFlow, PyTorch).
  • Deep understanding of NLP, Computer Vision, and Reinforcement Learning algorithms.
  • Proven expertise in cloud architecture (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Strong leadership skills with a track record of mentoring high-performing engineering teams.
  • Experience with Agile methodologies and Scrum practices.

Required Skills

Python Machine Learning LLMs TensorFlow PyTorch Cloud Architecture AWS Azure Docker Kubernetes Web3 NLP Computer Vision

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