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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Technologies at the forefront of 2026's technological revolution! We're seeking visionary AI Systems Architects to design, build, and deploy next-generation artificial intelligence frameworks that will redefine industries. As a key innovator in our Quantum AI Division, you'll collaborate with world-class researchers to develop scalable, ethical AI solutions for autonomous systems, predictive analytics, and human-AI collaboration platforms. This role offers unparalleled opportunities to shape the future of intelligent technology while working in our state-of-the-art innovation hub in San Francisco.

Responsibilities

  • Design and implement scalable AI architectures using quantum computing principles and neural network optimization
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
  • Integrate multimodal data streams (voice, visual, IoT) into real-time decision systems
  • Architect secure federated learning networks for distributed AI model training
  • Develop adaptive AI systems capable of continuous self-improvement and contextual awareness
  • Optimize AI performance for edge computing and low-latency applications
  • Establish governance protocols for transparent AI decision-making processes

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of architecture experience
  • Expertise in quantum machine learning and neuromorphic computing systems
  • Proven track record designing ethical AI frameworks with bias mitigation protocols
  • Proficiency in distributed computing frameworks (Kubernetes, Ray, TensorFlow Extended)
  • Strong background in federated learning and differential privacy technologies
  • Experience with multimodal AI integration (vision, NLP, sensor fusion)
  • Certification in AI ethics and responsible AI development (e.g., IEEE 7001)

Required Skills

AI Architecture Quantum Computing Neural Networks Federated Learning Ethical AI Multimodal Systems TensorFlow PyTorch Kubernetes

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