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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Systems Architect

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

Job Description

Join QuantumLeap Technologies to architect the future of artificial intelligence. We seek a visionary 2026 AI Systems Architect to design next-generation machine learning frameworks that will redefine industries. This role combines cutting-edge research with practical implementation, requiring expertise in quantum computing integration and autonomous systems development. You'll lead cross-functional teams to deploy scalable AI solutions while maintaining ethical standards and security protocols.

Our culture values innovation and continuous learning, offering competitive benefits including stock options, flexible work arrangements, and a $10,000 annual professional development stipend. This position reports directly to our Chief Technology Officer and includes mentorship opportunities for junior engineers.

Responsibilities

  • Design scalable AI architectures leveraging quantum computing principles
  • Develop autonomous system frameworks with 99.99% reliability
  • Lead cross-functional teams in implementing AI solutions across fintech and healthcare sectors
  • Establish ethical AI governance frameworks aligned with 2026 regulatory standards
  • Conduct research on emerging neural network optimization techniques
  • Collaborate with product teams to translate business requirements into technical specifications
  • Mentor junior engineers on advanced machine learning methodologies

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years experience in large-scale AI system architecture
  • Proficiency in quantum computing platforms (IBM Q, Rigetti, or equivalent)
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, or similar)
  • Expertise in federated learning and differential privacy technologies
  • Strong background in ethical AI frameworks and bias mitigation
  • Hands-on experience with Kubernetes, TensorFlow, and PyTorch ecosystems
  • Proven track record of deploying production-grade autonomous systems

Required Skills

Quantum Computing Machine Learning System Architecture Autonomous Systems Neural Networks AI Ethics Kubernetes TensorFlow PyTorch

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