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Information Technology 🏒 Full Time ⭐️ Verified

Strategic AI Architect (2026 Vision)

Nebula Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Strategic AI Architect to lead our research division in defining the technological landscape for 2026 and beyond. As we stand on the precipice of the next industrial revolution, your role will be pivotal in bridging theoretical AI advancements with practical, scalable enterprise solutions. You will not just build software; you will architect the future of human-machine interaction.

In this high-impact role, you will collaborate with quantum computing researchers, neuroscientists, and software engineers to create adaptive systems capable of processing complex datasets in real-time. If you are driven by the challenge of solving the unsolvable and have a passion for shaping the year 2026, we want to hear from you.

Responsibilities

  • Define and execute the long-term technical roadmap for Artificial General Intelligence (AGI) research aligned with 2026 goals.
  • Architect robust, fault-tolerant neural networks capable of handling petabyte-scale data streams.
  • Lead cross-functional teams in the development of next-generation Natural Language Processing (NLP) models.
  • Identify emerging AI trends and evaluate their feasibility for integration into our core product suite.
  • Oversee the deployment of edge computing solutions to ensure low-latency AI processing.
  • Mentor senior engineers and PhD researchers to foster a culture of innovation and technical excellence.
  • Establish security protocols and ethical guidelines for autonomous systems.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field from a top-tier institution.
  • 10+ years of experience in software architecture, with at least 5 years focused on Machine Learning and Deep Learning.
  • Proven expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Deep understanding of Transformer architectures and Large Language Models (LLMs).
  • Strong experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse stakeholders.
  • Track record of delivering high-impact AI products in a fast-paced startup environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems Cloud Architecture NLP LLMs System Design

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