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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Initiative

CyberCore Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

At CyberCore Dynamics, we are not merely building software; we are architecting the future. We are currently seeking a visionary Senior AI Architect to lead our flagship initiative, Project 2026. This role is critical in defining the technological landscape for the coming decade. You will be at the forefront of innovation, tasked with designing scalable neural networks and autonomous systems that will set the industry standard for the year 2026 and beyond.

We are looking for a technical leader who thrives in ambiguity and possesses the engineering prowess to transform complex concepts into robust, production-ready solutions.

Responsibilities

  • Architect Future-Proof Systems: Design and implement the core infrastructure for Project 2026, focusing on next-generation machine learning models and predictive analytics.
  • Lead Technical Strategy: Define the architectural vision for AI integration across all product lines, ensuring scalability and performance.
  • Optimize Neural Architectures: Continuously research and implement state-of-the-art algorithms to improve model efficiency and accuracy.
  • Guide Engineering Teams: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure Ethical AI: Establish governance frameworks to ensure responsible AI development and mitigate algorithmic bias.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Experience: 10+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Proficiency: Expert-level proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • System Design: Deep understanding of cloud architecture (AWS/Azure/GCP) and microservices design patterns.
  • Problem Solving: Demonstrated ability to solve complex, large-scale problems with innovative engineering solutions.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Architecture Cloud Computing Neural Networks Predictive Analytics Leadership

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