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AI Solutions Architect (2026 Vision)

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution. We're seeking an AI Solutions Architect to design transformative systems that will redefine industries by 2026. This role blends cutting-edge AI innovation with strategic business impact, working with Fortune 500 clients to build autonomous systems, predictive analytics platforms, and ethical AI frameworks. You'll lead cross-functional teams through the full lifecycle of AI implementation, from ideation to deployment, while ensuring scalability and future-readiness.

Why QuantumLeap? We're not just building for todayβ€”we're architecting tomorrow. Our incubation lab partners with MIT and Stanford to pioneer breakthroughs in quantum-AI convergence, neural-symbolic integration, and sustainable AI infrastructure. This is your chance to shape the next decade of technological advancement.

Responsibilities

  • Architect end-to-end AI solutions integrating LLMs, computer vision, and predictive analytics
  • Design ethical AI governance frameworks aligned with 2026 regulatory standards
  • Lead technical workshops with C-suite executives to align AI strategy with business objectives
  • Develop quantum-resistant AI architectures for critical infrastructure applications
  • Mentor junior engineers in emerging AI paradigms like neuro-symbolic computing
  • Collaborate with product teams to define AI roadmaps with 5-year scalability
  • Conduct AI impact assessments for sustainability and societal responsibility

Qualifications

  • 8+ years in AI/ML architecture with proven enterprise-scale deployments
  • Expertise in transformer architectures, reinforcement learning, and MLOps
  • Experience with cloud-native AI stacks (AWS SageMaker, GCP Vertex AI, Azure ML)
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR) preferred
  • Strong background in AI ethics, bias mitigation, and explainable AI
  • Proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Certification in quantum computing fundamentals (IBM Qiskit, Rigetti) a plus
  • Track record of leading teams through complex AI transformation projects

Required Skills

AI Architecture Machine Learning Quantum Computing LLMs MLOps Cloud AI Ethics Strategic Planning

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