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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Visionary Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future of intelligence?

Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead our 2026 Strategic Initiative. In this pivotal role, you will design the next generation of autonomous neural networks, ensuring our infrastructure is not just ready for tomorrow, but is the blueprint for it. Join a team that is redefining the boundaries of artificial general intelligence and ethical tech.

We are looking for a technologist who doesn't just follow trends but sets them. You will be at the intersection of deep learning, scalable cloud architecture, and ethical AI governance, working on projects that will define the landscape of technology in 2026 and beyond.

Responsibilities

  • Architect and lead the development of cutting-edge AI models and scalable infrastructure for the 2026 roadmap.
  • Define the technical vision and standards for deep learning pipelines, ensuring high performance and low latency.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business goals into technical solutions.
  • Implement robust monitoring, logging, and observability systems to maintain model integrity in production environments.
  • Drive research into novel neural architectures and optimization techniques to push the boundaries of current AI capabilities.
  • Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing and deploying large-scale distributed systems (AWS, GCP, or Azure).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning principles.
  • Exceptional problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP Distributed Systems NLP Computer Vision Cloud Architecture Agile Leadership

Ready to Take This Challenge?

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