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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision & Roadmap

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to lead the technological trajectory of our organization. As we approach the pivotal year of 2026, we need a leader who can bridge the gap between theoretical AI research and practical, scalable implementation. You will be instrumental in defining the architecture that will power our next-generation products and set industry standards for the future.

In this role, you will not just follow a roadmap; you will help write the roadmap for 2026. Join a team of disruptors committed to pushing the boundaries of what is possible in artificial intelligence.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable, high-performance AI architectures tailored for 2026 enterprise demands.
  • Roadmap Strategy: Define and execute a comprehensive technology roadmap leading up to 2026, identifying emerging trends in Generative AI and Deep Learning.
  • Technical Leadership: Mentor a team of talented engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Model Optimization: Oversee the deployment and optimization of large language models and neural networks to ensure efficiency and accuracy.
  • Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex technical requirements into user-centric solutions.

Qualifications

  • Experience: 8+ years of experience in software engineering, specifically in Artificial Intelligence and Machine Learning.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and cloud infrastructure (AWS/GCP/Azure).
  • Strategic Vision: Proven track record of defining long-term technical strategies and leading innovation initiatives.
  • Problem Solving: Ability to tackle complex, ambiguous problems with creative and pragmatic solutions.

Required Skills

AI Machine Learning Python Deep Learning Cloud Architecture Leadership Roadmap Planning Generative AI

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