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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 190.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the future with Nexus Future Labs! We're pioneering AI-driven solutions for 2026 and beyond, seeking a visionary AI Solutions Architect to lead transformative projects. Join our elite team in San Francisco where innovation meets execution. You'll architect cutting-edge AI systems that redefine industries while working alongside world-class researchers and engineers. Enjoy competitive compensation, flexible work arrangements, and the opportunity to impact humanity's technological trajectory.

Our ideal candidate thrives at the intersection of machine learning and enterprise architecture, with a passion for solving complex problems that will define the next decade. If you're ready to build the intelligent systems of tomorrow, this is your moment.

Responsibilities

  • Design and implement scalable AI/ML solutions for enterprise clients across healthcare, finance, and autonomous systems
  • Lead technical strategy for 2026-era AI infrastructure, including quantum-enhanced computing pipelines
  • Collaborate with C-suite executives to align AI initiatives with long-term business vision
  • Architect hybrid-cloud AI ecosystems leveraging edge computing and distributed neural networks
  • Develop ethical AI governance frameworks ensuring compliance with evolving 2026 regulatory standards
  • Mentor cross-functional teams in advanced AI implementation best practices
  • Drive innovation through competitive research in generative AI and predictive analytics

Qualifications

  • 10+ years in AI/ML architecture with 5+ years in enterprise solution design
  • Expertise in TensorFlow/PyTorch, distributed ML frameworks, and MLOps pipelines
  • Proven track record deploying production AI systems at scale (10M+ users)
  • PhD or equivalent in Computer Science, AI, or related field
  • Deep understanding of quantum computing fundamentals and their AI applications
  • Certification in AWS/GCP/Azure AI specialization and ethical AI governance
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)

Required Skills

AI Architecture Machine Learning Quantum Computing MLOps TensorFlow PyTorch Cloud AI Neural Networks Ethics in AI Predictive Analytics

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