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Senior AI Architect (2026 Roadmap)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to define the future of Artificial Intelligence?

Nexus Horizon AI is seeking a visionary Senior AI Architect to lead the technical strategy for our groundbreaking projects targeting the 2026 landscape. We are building the infrastructure that will power the next generation of autonomous agents and generative ecosystems. If you thrive in high-stakes environments and want to push the boundaries of what's possible in LLMs and multimodal systems, this is your chance to leave a lasting legacy.

In this role, you will not just implement existing models; you will architect the systems that will define the industry standard for the coming decade.

Responsibilities

  • Architect and deploy scalable AI infrastructure designed for the 2026 technological horizon.
  • Lead research and development in Large Language Models (LLMs) and generative adversarial networks.
  • Optimize inference pipelines and model quantization for edge computing environments.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
  • Establish best practices for MLOps, data governance, and ethical AI implementation.
  • Mentor junior engineers and data scientists to foster a culture of technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 6+ years of experience in designing production-grade machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven track record of working with state-of-the-art LLMs (e.g., GPT-4, Claude, Llama).
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and Kubernetes.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs Cloud Computing MLOps Kubernetes AWS

Ready to Take This Challenge?

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