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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Horizon Corp
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence.

Join Nexus Horizon Corp as a Senior AI & Future Tech Architect and lead the charge in defining the technological landscape for 2026 and beyond. We are looking for a visionary engineer to bridge the gap between generative AI and next-generation hardware integration.

In this pivotal role, you will architect scalable systems that power autonomous agents, quantum-enhanced computing models, and hyper-personalized human-AI interfaces. You will work at the intersection of deep learning, distributed systems, and the emerging era of post-silicon computing.

Why Nexus Horizon?

We are a mission-driven organization building the infrastructure for a world where human creativity is amplified by advanced AI. We offer competitive compensation, equity packages, and the opportunity to work on projects that will define the next decade of technology.

Responsibilities

  • Architect Next-Gen Systems: Design and implement resilient, high-performance distributed systems capable of handling petabyte-scale data streams for 2026 workloads.
  • AI Integration: Lead the integration of state-of-the-art Large Language Models (LLMs) and generative AI agents into core product infrastructure.
  • R&D Leadership: Spearhead research initiatives into quantum computing interfaces and neuromorphic hardware optimization.
  • Technical Strategy: Define technical roadmaps for AI infrastructure, ensuring scalability, security, and ethical AI compliance.
  • Collaboration: Partner with product managers and engineering teams to translate complex technical requirements into elegant, efficient solutions.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field.
  • Experience: 10+ years of professional experience in software architecture, with at least 5 years specifically focused on AI/ML systems.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
  • Innovation: Proven track record of working with emerging technologies such as quantum computing libraries (Qiskit, Cirq) or edge computing.
  • Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

AI Machine Learning System Architecture Python PyTorch TensorFlow Quantum Computing Kubernetes Distributed Systems Cloud Architecture

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