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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are building the digital reality of 2026. Nexus Future Systems is looking for visionary engineers to bridge the gap between Artificial Intelligence and next-generation computing. In this pivotal role, you will design scalable, quantum-ready architectures that define the infrastructure of tomorrow.

Our mission is to accelerate the transition to AGI by 2026. You will work alongside world-class researchers and engineers to deploy large-scale neural networks that operate at the edge of current technology. If you are obsessed with performance, scalability, and the future of tech, we want to meet you.

Why join us?

  • Work on cutting-edge projects that shape the future of technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a premium office in San Francisco.
  • Access to the latest hardware and research tools.

Responsibilities

  • Design and implement scalable AI systems capable of handling exabyte-scale data processing.
  • Architect hybrid cloud infrastructure optimized for quantum computing integration.
  • Lead the migration of legacy systems to 2026-ready microservices architecture.
  • Mentor a team of talented software engineers and data scientists.
  • Define technical roadmaps and evaluate emerging technologies (Neuromorphic chips, Edge AI).
  • Collaborate with product teams to translate complex AI capabilities into user-facing features.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in software engineering, with 3+ years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Familiarity with quantum computing frameworks (Qiskit, Cirq) is a strong plus.
  • Proven track record of leading high-performance engineering teams.
  • Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP).

Required Skills

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

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