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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech AI Architect (2026 Vision)

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

Job Description

We are on the cusp of a technological renaissance. Nexus Horizon Labs is seeking a visionary Future Tech AI Architect to spearhead our initiatives for the year 2026 and beyond. You will be responsible for defining the architectural blueprint of our next-generation cognitive systems, ensuring scalability, ethical integrity, and superior performance in a rapidly evolving landscape.

In this role, you will bridge the gap between theoretical breakthroughs and practical application, leading a world-class team in building the intelligent infrastructure of tomorrow.

Responsibilities

  • Strategic Roadmap: Define and execute the long-term AI strategy for 2026, identifying emerging technologies and integrating them into our core product suite.
  • System Architecture: Design and deploy scalable, fault-tolerant neural network architectures capable of handling massive data streams and complex decision-making tasks.
  • Model Optimization: Lead efforts in fine-tuning large language models and generative AI systems to achieve industry-leading accuracy and efficiency.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Work closely with product managers and engineering leads to translate business requirements into robust technical solutions.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, or Azure).
  • AI Expertise: Deep understanding of Large Language Models (LLMs), Reinforcement Learning, and Generative Adversarial Networks (GANs).
  • Leadership: Proven track record of leading high-performance technical teams and delivering complex projects on time.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Architecture Cloud Computing AWS GCP Leadership

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