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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Tech Visionary)

NexusCore Industries
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the Architects of Tomorrow.

NexusCore Industries is a leader in predictive computing and autonomous systems. As we prepare for the 2026 technological paradigm shift, we are seeking a visionary Senior AI Architect to design scalable, fault-tolerant neural architectures that will power the next generation of enterprise solutions.

In this role, you won't just write code; you will define the standards for intelligent systems. You will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platforms remain ahead of the curve in a rapidly evolving digital landscape.

Why NexusCore?

  • Work on cutting-edge projects that define the 2026 era.
  • Competitive compensation and equity packages.
  • Access to state-of-the-art compute resources and quantum testing environments.

Responsibilities

  • Architect Neural Frameworks: Design and implement scalable AI models capable of processing exabytes of data with sub-millisecond latency.
  • Lead R&D Initiatives: Spearhead research into generative adversarial networks (GANs) and reinforcement learning to solve complex, unstructured problems.
  • System Optimization: Optimize model inference pipelines and reduce energy consumption for edge computing applications.
  • Technical Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Strategic Roadmap: Collaborate with product managers to define the technical vision for the 2026 product release cycle.
  • Security & Compliance: Ensure all AI systems adhere to rigorous data privacy standards and ethical AI guidelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Physics, or a related technical field.
  • Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a senior architectural role.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
  • 2026 Readiness: Demonstrated experience integrating emerging technologies such as edge AI, quantum algorithms, or neuromorphic computing.
  • Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for non-technical stakeholders.
  • Problem Solving: Proven track record of troubleshooting complex system failures and optimizing large-scale data pipelines.

Required Skills

Python TensorFlow PyTorch Kubernetes Docker Machine Learning Deep Learning Cloud Architecture Distributed Systems AI Ethics

Ready to Take This Challenge?

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