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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Solutions Architect

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

Job Description

Join QuantumLeap Technologies at the forefront of AI-driven innovation as we prepare for the transformative year of 2026. We seek a visionary AI Solutions Architect to design next-generation systems that will redefine industry standards. This role offers the opportunity to shape AI ethics frameworks, lead quantum computing integrations, and pioneer neural network architectures that will power the next decade of technological advancement.

Our San Francisco hub combines cutting-edge research with real-world implementation, offering unmatched resources to solve humanity's most complex challenges. You'll collaborate with Nobel laureates, patent 5+ AI innovations annually, and directly influence the ethical deployment of autonomous systems across healthcare, climate science, and space exploration.

Responsibilities

  • Design and implement scalable AI architectures integrating quantum computing and neuromorphic processors
  • Lead cross-functional teams in developing ethical AI governance frameworks for 2026 regulatory compliance
  • Architect multimodal AI systems combining computer vision, NLP, and predictive analytics
  • Drive innovation in federated learning and zero-knowledge AI applications
  • Establish performance benchmarks for next-generation AI hardware-software co-design
  • Mentor researchers in emerging fields like synthetic biology-AI interfaces
  • Present breakthrough findings at global AI summits and industry consortiums

Qualifications

  • PhD in Computer Science/AI with 8+ years of enterprise AI architecture experience
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq) and neuromorphic computing
  • Published research in top-tier AI ethics, quantum computing, or neuromorphic journals
  • Proven track record of deploying production-grade AI systems serving >10M users
  • Deep knowledge of 2026 AI regulatory landscapes (EU AI Act, US AI Bill of Rights)
  • Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
  • Certification in AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001)

Required Skills

Quantum Computing AI Ethics Neuromorphic Systems Federated Learning NLP Computer Vision TensorFlow PyTorch Qiskit

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