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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Future Systems Architect

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are building the infrastructure for the year 2026 and beyond. Nexus Horizon is seeking a visionary Lead AI & Future Systems Architect to design scalable, quantum-ready neural networks and autonomous agent ecosystems. If you are passionate about pushing the boundaries of artificial general intelligence and want to define the technological landscape of the future, this is your opportunity.

As a key leader in our R&D division, you will bridge the gap between theoretical AI research and production-grade engineering. We are looking for a builder who thrives in ambiguity and possesses the technical prowess to architect systems that are resilient, ethical, and infinitely scalable.

Responsibilities

  • Architect and lead the development of next-generation AI models designed for the 2026 technological landscape.
  • Design resilient, fault-tolerant systems capable of processing high-velocity data streams in real-time.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Establish best practices for code quality, security, and ethical AI deployment.
  • Research emerging technologies including quantum computing interfaces and advanced NLP paradigms.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Proven track record of deploying large-scale machine learning models to production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Distributed Systems Machine Learning NLP Cloud Architecture Agile Methodologies

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