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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Horizon Initiative

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead The 2026 Horizon Initiative. This is a rare opportunity to define the architectural foundation for the next generation of generative AI systems. You will bridge the gap between cutting-edge research and production-grade engineering, building scalable solutions that will power the future of enterprise intelligence.

Key Highlights:

  • Work on high-impact projects that shape the trajectory of AI technology.
  • Competitive base salary plus equity package.
  • Access to the latest hardware and cloud infrastructure for model training.
  • Flexible remote-first work environment.

Responsibilities

  • Architect and deploy scalable AI infrastructure aligned with the 2026 strategic roadmap.
  • Lead the design and implementation of Large Language Model (LLM) fine-tuning pipelines and RAG systems.
  • Optimize model inference performance and reduce latency in high-traffic environments.
  • Establish and enforce architectural standards for data governance, model security, and compliance.
  • Collaborate closely with product managers and data scientists to translate business requirements into technical solutions.
  • Conduct code reviews and mentor junior engineers on best practices for MLOps and cloud architecture.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing distributed systems capable of handling petabyte-scale data.
  • Strong understanding of NLP, Computer Vision, and Generative AI model architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python Machine Learning LLMs TensorFlow PyTorch System Design Cloud Architecture AI Strategy MLOps Docker Kubernetes

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