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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - Shaping the 2026 Technology Stack

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the standard for Artificial Intelligence in the year 2026? At Nexus Horizons, we are not just building software; we are engineering the future. We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation Generative Intelligence platform. You will be at the forefront of scaling Large Language Models (LLMs) and autonomous agents that will redefine human-machine interaction.

Why Join Us?
We offer a competitive compensation package, equity opportunities, and a culture that prioritizes innovation over bureaucracy. You will work with state-of-the-art hardware and collaborate with world-class researchers and engineers.

Responsibilities

  • Architect Scalable Infrastructure: Design and implement high-performance, distributed systems for training and serving massive-scale LLMs.
  • Optimization Leadership: Lead initiatives to reduce inference latency and improve model throughput using advanced quantization and pruning techniques.
  • Roadmap Definition: Define the technical vision for our 2026 roadmap, identifying emerging technologies (e.g., Multimodal AI, Edge AI) to maintain a competitive edge.
  • Team Mentorship: Mentor a team of senior ML engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Model Governance: Establish best practices for model security, ethical AI, and compliance with industry regulations.
  • Prototype Engineering: Build rapid prototypes to validate new architectural patterns before full-scale deployment.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field. PhD preferred.
  • Experience: 7+ years of experience in software engineering with a focus on Machine Learning and Deep Learning.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Cloud Expertise: Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • System Design: Proven track record of designing fault-tolerant, scalable systems handling high transaction volumes.
  • Communication: Exceptional ability to translate complex technical concepts for stakeholders and cross-functional teams.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) MLOps Kubernetes Docker AWS System Architecture Machine Learning Engineering

Ready to Take This Challenge?

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