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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Solutions Architect

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Dynamics at the forefront of 2026 technological evolution. We're seeking an innovative AI Solutions Architect to design and implement cutting-edge systems that will redefine industries by 2026. Collaborate with cross-functional teams to architect scalable AI solutions, drive machine learning breakthroughs, and pioneer next-generation automation frameworks. This role is your chance to shape the future of intelligent systems while working in our state-of-the-art San Francisco innovation hub.

Responsibilities

  • Design and implement scalable AI/ML solutions for 2026 market readiness
  • Lead technical strategy for autonomous systems and predictive analytics platforms
  • Develop roadmap for quantum computing integration with classical AI models
  • Collaborate with R&D teams to prototype next-gen neural architectures
  • Optimize AI systems for edge computing deployment in 2026 IoT ecosystems
  • Mentor junior engineers on emerging AI paradigms and ethical frameworks
  • Drive innovation in explainable AI and human-AI collaboration interfaces

Qualifications

  • 8+ years in AI/ML architecture with 3+ years in large-scale system design
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proven track record deploying production-grade AI systems with >99.9% uptime
  • Deep understanding of quantum computing principles and hybrid quantum-classical models
  • Experience with MLOps pipelines and automated ML deployment frameworks
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Strong background in AI ethics, bias mitigation, and responsible AI frameworks

Required Skills

AI/ML Architecture Quantum Computing MLOps Reinforcement Learning Transformer Models Federated Learning Explainable AI Neural Architecture Search Edge AI Ethics in AI

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