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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead our 2026 roadmap. We are building the infrastructure for the next generation of autonomous systems, and we need a technical leader to define the architecture that powers the future.

In this role, you will bridge the gap between theoretical machine learning and production-grade software engineering. You will define the technical strategy for our upcoming AI ecosystem, ensuring scalability, security, and ethical AI compliance.

Responsibilities

  • Design and implement scalable AI architectures for the 2026 product suite, focusing on Large Language Models (LLMs) and predictive analytics.
  • Lead a team of senior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Establish and enforce best practices for MLOps, data governance, and model versioning.
  • Collaborate with product managers and stakeholders to translate business requirements into technical roadmaps.
  • Conduct deep-dive research into emerging AI technologies to maintain a competitive edge.
  • Ensure all AI systems are robust, fair, and explainable (XAI).

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a leadership capacity.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed systems.
  • Deep understanding of Deep Learning architectures, NLP, and computer vision.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AI Architecture MLOps NLP Cloud Computing Docker Kubernetes

Ready to Take This Challenge?

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