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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Shaping the Future for 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our next-generation research and development initiatives. In this pivotal role, you will not just build software; you will architect the future, leveraging artificial intelligence to solve complex global challenges.


We are looking for a pioneer who thrives in ambiguity and possesses the technical prowess to turn ambitious 2026 visions into reality. You will work alongside a world-class team of engineers, data scientists, and product strategists to deliver breakthrough solutions that set industry standards.

Responsibilities

  • Define and execute the technical roadmap for our 2026 AI product suite, ensuring alignment with long-term strategic goals.
  • Lead the design and implementation of scalable, high-performance machine learning systems and neural architectures.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems seamlessly.
  • Drive innovation in natural language processing and predictive analytics, pushing the boundaries of what is currently possible.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Oversee the deployment of models into production environments, ensuring robustness, security, and real-time performance.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and leadership.
  • Proven expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Demonstrated ability to lead high-performing engineering teams through complex technical challenges.
  • Exceptional problem-solving skills and a track record of delivering innovative solutions in fast-paced environments.

Required Skills

Python TensorFlow PyTorch Cloud Architecture AI/ML Leadership System Design Docker Kubernetes

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