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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our next-generation generative AI initiatives. In this pivotal role, you will bridge the gap between theoretical research and practical deployment, ensuring our AI systems are not only powerful but also ethically sound and scalable.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to build the infrastructure of tomorrow. Join a team that is pushing the boundaries of what is possible in artificial intelligence.

Responsibilities

  • Architect and deploy scalable large language model (LLM) pipelines and generative AI frameworks.
  • Establish ethical AI governance protocols and bias mitigation strategies.
  • Collaborate with cross-functional product teams to translate complex business needs into robust technical solutions.
  • Optimize model performance, latency, and cost-efficiency for real-time applications.
  • Lead technical research on emerging trends, preparing our architecture for the future.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in AI/ML engineering, with a specific focus on NLP and Generative AI.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of MLOps, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Demonstrated ability to lead technical strategy and architecture reviews.
  • Exceptional communication skills, capable of articulating complex concepts to diverse stakeholders.

Required Skills

Python Machine Learning NLP Generative AI Cloud Computing MLOps TensorFlow PyTorch AWS Kubernetes

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