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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Strategic Roadmap

Nexus Future Group
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological landscape for the year 2026 and beyond. You will not just be maintaining existing systems; you will be architecting the future of intelligent computing at Nexus Future Group.

In this pivotal role, you will lead the design of scalable neural networks and predictive models that will power our global operations. We are looking for a leader who understands the convergence of generative AI, edge computing, and quantum readiness.

Join us in building the infrastructure that will define the next decade of technological advancement.

Responsibilities

  • Lead Architecture: Design and implement robust ML systems capable of processing exabytes of data by 2026.
  • Strategic Planning: Translate high-level 2026 business goals into concrete technical roadmaps and architecture blueprints.
  • Model Optimization: Spearhead the development of proprietary algorithms to improve model accuracy and reduce latency.
  • Team Leadership: Mentor a diverse team of ML engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Infrastructure Migration: Oversee the transition to cloud-native environments and Kubernetes orchestration.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in Machine Learning Engineering, with at least 4 years in a senior architectural role.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and Scikit-learn.
  • DevOps: Proficiency with MLOps pipelines, Docker, and Kubernetes.
  • Problem Solving: Proven track record of solving complex scalability and performance issues in high-load environments.

Required Skills

Python TensorFlow PyTorch MLOps Kubernetes Machine Learning AI Architecture Cloud Computing Leadership

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