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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap | San Francisco, CA

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

Job Description

We are looking for a visionary Lead AI Architect to define the technological landscape for 2026. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable infrastructure.

Nexus Future Labs is at the forefront of next-generation computing. We are seeking a strategic thinker who understands the trajectory of artificial intelligence and wants to build the systems that will power the future.

Why Join Us?

  • Work on cutting-edge projects that define the 2026 tech ecosystem.
  • Competitive compensation and equity package.
  • Flexible remote-first hybrid work culture.
  • Access to top-tier research tools and computing resources.

Responsibilities

  • Architect and lead the development of scalable AI infrastructure designed to meet the demands of 2026 and beyond.
  • Define the long-term technical roadmap for our Machine Learning platforms, ensuring alignment with business goals.
  • Collaborate with cross-functional teams (Data Science, Engineering, Product) to integrate advanced AI models into production environments.
  • Research and evaluate emerging technologies, including Quantum Computing and Neuromorphic Engineering, to assess their viability for our stack.
  • Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.
  • Ensure system security, scalability, and performance optimization for high-volume data processing.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Strong understanding of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of leading technical teams and managing large-scale projects.
  • Experience with AI ethics, bias mitigation, and responsible AI deployment.
  • Master’s degree in Computer Science, AI, or a related field is preferred.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Machine Learning Artificial Intelligence Cloud Architecture Distributed Systems

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