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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect 2026

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer solutions for 2026's most complex challenges. We're seeking an innovative AI Solutions Architect to design and implement transformative systems that will redefine industries. In this role, you'll collaborate with visionary teams to architect AI-powered platforms that anticipate future needs and deliver unprecedented value. Our culture thrives on intellectual curiosity, cutting-edge innovation, and a relentless pursuit of excellence. If you're passionate about shaping tomorrow's digital landscape, this is your moment to make history.

Responsibilities

  • Design scalable AI architectures for 2026-era enterprise solutions
  • Lead cross-functional teams in developing next-gen machine learning pipelines
  • Integrate emerging technologies (quantum computing, edge AI) into production systems
  • Develop future-proof data frameworks for autonomous decision-making
  • Create strategic roadmaps for AI transformation across verticals
  • Conduct advanced simulations for 2026 technological scenarios
  • Drive innovation through rapid prototyping and iterative development
  • Mentor junior architects in next-gen AI methodologies

Qualifications

  • 10+ years in AI/ML architecture with 5+ years in leadership roles
  • Expertise in distributed systems and cloud-native AI deployment
  • PhD in Computer Science, AI, or equivalent practical experience
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Proficiency in quantum computing frameworks and edge AI optimization
  • Track record of architecting systems serving 10M+ users
  • Deep understanding of ethical AI frameworks and responsible innovation
  • Certification in AWS/Azure/GCP advanced AI specializations

Required Skills

AI Architecture Machine Learning Quantum Computing Distributed Systems Cloud AI Edge Computing Ethical AI Prototyping Strategic Planning

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