Home Job Details
C
Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Architect

CyberCore Systems
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

CyberCore Systems is pioneering the technological frontier, and we are seeking a visionary 2026 AI Architect to lead our next-generation research initiatives. In this pivotal role, you will design the architectural blueprints for the artificial intelligence systems that will define the industry landscape by 2026.

We are looking for a thought leader who can bridge the gap between theoretical machine learning and scalable, production-grade engineering. You will work at the intersection of deep learning, generative AI, and quantum computing to build systems that are not only powerful but also ethical and efficient. If you are driven by the challenge of shaping the future and possess an exceptional ability to solve complex problems, this is your opportunity to make an indelible mark on the tech world.

Responsibilities

  • Architect and deploy scalable machine learning models specifically designed for the 2026 technological era, including integration with emerging quantum frameworks.
  • Lead cross-functional R&D teams to define the technical roadmap for our flagship AI initiatives.
  • Optimize neural network inference speeds and reduce latency to meet enterprise-grade performance benchmarks.
  • Establish best practices for model governance, data privacy, and ethical AI implementation.
  • Collaborate with product managers to translate complex technical requirements into robust engineering solutions.
  • Conduct rigorous testing and validation of AI systems in high-stakes, real-world environments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8 years of professional experience in designing, implementing, and maintaining large-scale AI systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark).
  • Proven track record of leading technical projects from concept to production deployment.
  • Strong understanding of edge computing, cloud infrastructure (AWS/Azure/GCP), and containerization technologies.
  • Excellent communication skills with the ability to mentor junior engineers and articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing AWS Architecture Quantum Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All