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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
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking a visionary AI Solutions Architect to design next-generation systems that will transform industries. In this pivotal role, you'll architect scalable AI solutions, lead cutting-edge research initiatives, and shape the future of intelligent automation. Our dynamic team thrives on innovation, and we offer unparalleled opportunities to work with emerging technologies like quantum-ML hybrids and autonomous AI agents. If you're passionate about building the future and want to make a tangible impact, this is your moment to shine.

Responsibilities

  • Architect and implement scalable AI solutions for enterprise clients using 2026's latest frameworks
  • Lead cross-functional teams to develop autonomous AI systems with real-world applications
  • Design ethical AI governance frameworks ensuring compliance with emerging 2026 regulations
  • Conduct cutting-edge research in quantum-ML integration and explainable AI
  • Collaborate with product teams to translate technical innovations into market-ready solutions
  • Drive innovation through hackathons and prototyping sessions focused on 2026 technology trends
  • Mentor junior engineers and establish best practices for AI development lifecycle

Qualifications

  • Master's or PhD in Computer Science, AI, or related field with 8+ years experience
  • Expertise in 2026's AI stack: transformer architectures, quantum computing principles, and federated learning
  • Proven track record deploying production AI systems at scale (10M+ users)
  • Strong background in MLOps and AI lifecycle management
  • Deep understanding of ethical AI frameworks and 2026 regulatory landscape
  • Exceptional problem-solving skills with ability to architect complex systems
  • Experience with cloud platforms (AWS/GCP/Azure) and container orchestration
  • Published research or patents in AI/ML or adjacent fields preferred

Required Skills

AI Architecture Quantum Computing Machine Learning MLOps Ethical AI Federated Learning Cloud Infrastructure System Design

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