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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Strategic AI Architect (2026 Vision) | San Francisco

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

Job Description

At Nexus Horizon Technologies, we are not just predicting the future; we are building it. As we approach the pivotal year of 2026, we are seeking a visionary Strategic AI Architect to lead our next generation of autonomous systems and ethical AI frameworks. This is a unique opportunity for a forward-thinking engineer to define the technical roadmap for the next era of intelligent computing.

In this role, you will bridge the gap between theoretical research and practical application, ensuring our platforms remain at the cutting edge of innovation. You will work closely with executive leadership and cross-functional teams to integrate emerging technologies into scalable production environments.

Responsibilities

  • Architect and design scalable, fault-tolerant AI frameworks specifically engineered for the technological landscape of 2026 and beyond.
  • Lead the technical vision for next-generation machine learning models, ensuring alignment with long-term business objectives.
  • Define best practices for data governance, model interpretability, and ethical AI deployment.
  • Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate with product teams to translate complex technical requirements into actionable development roadmaps.
  • Conduct rigorous performance analysis and optimization for high-velocity data pipelines.
  • Stay ahead of industry trends, including quantum computing interfaces and neuromorphic engineering.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of professional experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Proven track record of leading large-scale technical initiatives from conception to deployment.
  • Strong understanding of neural network architectures, natural language processing, and generative AI.
  • Exceptional communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Demonstrated ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning System Architecture Cloud Computing AWS AI Ethics Distributed Systems Leadership

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