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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead our groundbreaking initiatives for the 2026 roadmap. In this pivotal role, you won't just build models; you will define the ethical and technical framework for the next generation of autonomous systems.

As a leader in the AI space, we prioritize innovation, autonomy, and scalability. You will work with a world-class team to deploy cutting-edge neural networks that solve complex real-world problems, ensuring our solutions are resilient, efficient, and ahead of the curve.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines optimized for 2026-era hardware and software environments.
  • Lead the research and implementation of Generative AI and Large Language Models (LLMs) to drive product innovation.
  • Optimize existing models for edge computing environments to ensure real-time, low-latency processing.
  • Mentor junior engineers and establish best practices for AI ethics, safety, and governance.
  • Collaborate cross-functionally with product, engineering, and design teams to translate high-level business needs into robust technical solutions.
  • Conduct rigorous code reviews and technical architecture sessions to maintain code quality and system integrity.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related quantitative field.
  • Minimum of 7 years of experience in software development and machine learning engineering.
  • Proficiency in Python, C++, and modern deep learning frameworks (TensorFlow, PyTorch, JAX).
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of distributed systems, data structures, and algorithmic complexity.
  • Experience with MLOps tools and CI/CD pipelines for automated model deployment.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Cloud Architecture MLOps Docker Kubernetes AWS Generative AI Big Data

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