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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the infrastructure for the future. As a Senior AI Architect, you will spearhead the development of our 2026-ready technology stack, integrating next-generation generative AI models with quantum-simulated processing capabilities. This is a high-impact role for a visionary engineer who wants to define how humans interact with intelligent systems a decade from now.

In this position, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our platforms are resilient, ethical, and future-proof.

Responsibilities

  • Architect and design scalable, high-performance AI systems capable of processing petabytes of real-time data for the 2026 market.
  • Lead the strategic roadmap for integrating Agentic AI workflows and autonomous agents into core product lines.
  • Collaborate with cross-functional teams to define technical standards for neural interface compatibility and spatial computing.
  • Optimize deep learning models for edge computing environments and low-latency network conditions.
  • Conduct rigorous security audits and ethical AI reviews to ensure responsible deployment of autonomous systems.
  • mentor junior engineers and foster a culture of continuous innovation and technical excellence.
  • Stay ahead of global tech trends to anticipate regulatory and technological shifts in the 2026 landscape.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in advanced AI/ML architecture.
  • Deep expertise in Python, C++, and Rust, with hands-on experience in training and fine-tuning Large Language Models (LLMs).
  • Strong understanding of distributed systems, microservices, and cloud-native architecture (AWS, GCP, Azure).
  • Proven track record of implementing computer vision and natural language processing solutions at scale.
  • Experience with quantum computing libraries or simulation environments is highly preferred.
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Artificial Intelligence Machine Learning Python C++ AWS GCP Azure Distributed Systems Neural Networks Deep Learning Quantum Computing Cloud Architecture

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