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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution! We're seeking an AI Solutions Architect to design and implement cutting-edge AI systems that will redefine industries. This role combines strategic vision with hands-on technical expertise to build scalable solutions for autonomous systems, quantum-ML hybrids, and next-gen human-AI collaboration platforms. Enjoy a collaborative environment with unlimited learning opportunities, competitive compensation, and equity in a rapidly scaling AI pioneer.

Responsibilities

  • Architect end-to-end AI solutions integrating quantum computing, edge computing, and neural network optimization
  • Lead cross-functional teams to deploy AI models in production environments with 99.99% uptime SLAs
  • Design ethical AI frameworks ensuring compliance with 2026 global AI governance standards
  • Develop strategic roadmaps for AI implementation in emerging sectors (bio-engineering, space logistics)
  • Conduct performance analysis and optimization of large-scale ML pipelines
  • Collaborate with research teams to prototype next-gen AI capabilities (e.g., generative consciousness)
  • Maintain competitive advantage through continuous innovation in AI architecture patterns

Qualifications

  • 10+ years in AI/ML architecture with proven experience in distributed systems
  • Expertise in quantum machine learning frameworks and quantum-classical hybrid models
  • Deep knowledge of ethical AI frameworks and regulatory compliance (EU AI Act 2026, US AI Bill of Rights)
  • Proficiency in MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP/Azure)
  • Published research in top-tier AI conferences (NeurIPS, ICML, or equivalent) preferred
  • Experience leading AI initiatives in regulated industries (healthcare, aerospace, finance)
  • Strong background in human-AI interaction design and explainable AI (XAI) techniques

Required Skills

Quantum Machine Learning MLOps AI Ethics Distributed Systems Neural Architecture Search Quantum-Classical Hybrids Explainable AI AWS/GCP/Azure Kubernetes TensorFlow PyTorch Kubeflow

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