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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our Project 2026, an initiative designed to redefine the boundaries of autonomous intelligence and quantum-assisted computing. This is a rare opportunity to shape the technological landscape of the future.

Why Join Us?

At Nexus Horizon Technologies, we are building the cognitive infrastructure for the next decade. You will work on cutting-edge neural networks, ethical AI frameworks, and scalable distributed systems. If you are ready to push the envelope of what is possible in AI, this is your stage.

Responsibilities

  • Lead Architectural Design: Spearhead the design of scalable, distributed AI systems for Project 2026, ensuring high availability and low latency.
  • Model Optimization: Fine-tune large language models (LLMs) and reinforcement learning agents to achieve state-of-the-art performance metrics.
  • Roadmap Definition: Define the technical roadmap for the 2026 release cycle, balancing innovation with feasibility.
  • Quantum Integration: Collaborate with quantum computing teams to integrate hybrid classical-quantum algorithms into existing pipelines.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for non-technical stakeholders and investors.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in AI/ML engineering, with at least 3 years in a lead or architectural role.
  • Technical Skills: Proficiency in PyTorch, TensorFlow, and GPU acceleration (CUDA, NVLink).
  • Frameworks: Deep understanding of Transformer architectures and RAG (Retrieval-Augmented Generation) systems.
  • Cryptography: Familiarity with blockchain and cryptographic techniques for secure AI model distribution.
  • Soft Skills: Exceptional problem-solving abilities and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP System Architecture Cloud Computing (AWS/Azure/GCP)

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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