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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect 2026

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

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking visionary AI Solutions Architects to design next-generation systems that will redefine industries. This hybrid-eligible role offers competitive equity, comprehensive benefits, and the opportunity to shape the future of artificial intelligence in our state-of-the-art downtown San Francisco headquarters.

Responsibilities

  • Architect scalable AI/ML solutions for enterprise clients across healthcare, finance, and autonomous systems
  • Lead cross-functional teams in implementing MLOps pipelines for 2026-era data infrastructure
  • Develop quantum-resistant security frameworks for AI deployment environments
  • Collaborate with product teams to translate business requirements into technical specifications
  • Conduct performance optimization for edge-computing AI applications
  • Drive innovation in federated learning and privacy-preserving AI techniques
  • Mentor junior engineers on emerging AI paradigms and ethical implementation

Qualifications

  • 8+ years in AI/ML architecture with proven enterprise-scale deployments
  • Expertise in transformer architectures, neural networks, and generative AI models
  • Strong programming skills in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Certification in AWS/GCP/Azure ML platforms and Kubernetes orchestration
  • Experience with federated learning and zero-trust AI security protocols
  • PhD or equivalent in Computer Science, AI, or related field preferred
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Demonstrated leadership in guiding AI ethics and governance initiatives

Required Skills

AI Architecture Machine Learning TensorFlow PyTorch MLOps Quantum Computing Federated Learning AWS Python Kubernetes Data Science Ethics

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