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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategic Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Are you ready to define the future of technology? Nexus Horizon is seeking a visionary 2026 AI Strategic Architect to lead our forward-thinking research division. In this pivotal role, you will not just adapt to the upcoming technological shifts; you will architect the solutions that will define the industry landscape in 2026 and beyond.

We are looking for a rare blend of deep technical expertise and strategic foresight. You will be responsible for steering our AI research roadmap, ensuring our infrastructure is scalable for the demands of next-generation neural networks, and mentoring a world-class team of engineers.

Why join Nexus Horizon?

  • Work on cutting-edge projects that push the boundaries of Artificial General Intelligence (AGI).
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a focus on innovation.

Responsibilities

  • Lead the architectural design and implementation of AI systems targeted for the 2026 release cycle.
  • Define and execute the long-term roadmap for our machine learning infrastructure, focusing on scalability and efficiency.
  • Collaborate with cross-functional teams to integrate AI solutions into core product offerings.
  • Stay ahead of emerging trends in Quantum Computing and Neuromorphic engineering to apply them to current projects.
  • Mentor senior engineers and conduct technical reviews to ensure code quality and architectural integrity.
  • Identify potential risks in AI development pipelines and devise mitigation strategies.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
  • Minimum of 7 years of experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong understanding of AI ethics, bias mitigation, and responsible AI practices.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch System Design AI Ethics Cloud Computing Agile Methodology

Ready to Take This Challenge?

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