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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Systems Architect

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer the next wave of AI-driven solutions for 2026. We're seeking an innovative AI Systems Architect to design and implement cutting-edge machine learning frameworks that will redefine industry standards. This role offers the unique opportunity to shape the future of intelligent systems in a collaborative, forward-thinking environment.

Our ideal candidate thrives in ambiguity, possesses deep technical expertise, and shares our passion for ethical AI development. You'll work alongside world-class researchers and engineers to architect scalable solutions that solve tomorrow's challenges today.

Responsibilities

  • Design and implement advanced AI/ML architectures for next-generation autonomous systems
  • Lead development of quantum-resistant encryption models for 2026 security standards
  • Optimize neural networks for edge computing deployment across IoT ecosystems
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
  • Research and prototype emerging AI paradigms including federated learning and generative adversarial networks
  • Establish performance benchmarks and validation protocols for AI system reliability
  • Mentor junior engineers in advanced AI architecture best practices

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 8+ years of experience in AI/ML system architecture with 3+ years in leadership roles
  • Expertise in TensorFlow, PyTorch, and distributed computing frameworks
  • Proven track record deploying production-grade AI systems at scale
  • Deep understanding of quantum computing principles and post-quantum cryptography
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Strong background in ethical AI development and bias mitigation techniques
  • Experience with cloud platforms (AWS, GCP, Azure) and container orchestration

Required Skills

AI Architecture Machine Learning Quantum Computing TensorFlow PyTorch Distributed Systems Ethical AI Cloud Computing IoT Neural Networks

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