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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect 2026

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of the 2026 AI revolution. We're seeking an AI Solutions Architect to design next-generation autonomous systems that will redefine industries. This role combines visionary leadership with technical excellence to build scalable AI solutions for Fortune 500 clients.

What We Offer:

  • Unlimited PTO and flexible remote work options
  • $10k annual learning stipend for cutting-edge certifications
  • Equity in a pre-IPO AI unicorn
  • Healthcare with 100% premium coverage

Shape the future of artificial intelligence with a team that's already prototyping 2026's breakthrough technologies.

Responsibilities

  • Architect end-to-end AI solutions integrating quantum computing and neural networks
  • Lead cross-functional teams in deploying production-grade autonomous systems
  • Develop ethical AI frameworks compliant with 2026 global regulations
  • Translate complex business requirements into scalable technical specifications
  • Conduct R&D on emerging AI paradigms (e.g., neuromorphic computing)
  • Mentor junior engineers in next-gen ML best practices
  • Present AI roadmaps to C-suite executives and board members

Qualifications

  • 8+ years in AI/ML with 3+ years in solution architecture
  • Proven experience deploying autonomous systems at scale
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • PhD in Computer Science or equivalent research credentials
  • Published papers in top-tier AI conferences (NeurIPS, ICML)
  • Fluency in Python, TensorFlow, and distributed computing
  • Certified in AWS/Azure/GCP AI specialization
  • Experience with federated learning and edge AI deployment

Required Skills

AI Architecture Quantum Computing Machine Learning Neural Networks TensorFlow Python Distributed Systems Quantum ML Autonomous Systems Ethics in AI

Ready to Take This Challenge?

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