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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Solutions Architect

FutureTech Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of technological evolution as we prepare for the transformative year 2026. We seek a visionary AI/ML Solutions Architect to design and implement cutting-edge AI systems that will redefine industries. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with industry pioneers in our state-of-the-art San Francisco headquarters.

As a key member of our 2026 Innovation Task Force, you'll lead the development of next-generation AI solutions, collaborate with global research partners, and contribute to our strategic roadmap for emerging technologies. We offer competitive compensation, comprehensive benefits, and a culture that celebrates breakthrough thinking.

Responsibilities

  • Architect scalable AI/ML solutions for enterprise clients targeting 2026 technology adoption cycles
  • Lead cross-functional teams in designing and deploying advanced neural networks and generative AI systems
  • Conduct research on quantum computing integration with machine learning frameworks
  • Develop ethical AI governance frameworks for autonomous systems deployment
  • Create technical roadmaps for AI infrastructure modernization and edge computing optimization
  • Mentor junior engineers on next-gen AI development methodologies
  • Collaborate with R&D teams on AGI (Artificial General Intelligence) research initiatives

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years of experience in AI/ML architecture with proven enterprise-scale deployments
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and MLOps tools
  • Strong background in distributed systems and cloud architecture (AWS/GCP/Azure)
  • Published research in top-tier AI conferences or journals
  • Experience with ethical AI frameworks and bias mitigation techniques
  • Proficiency in quantum computing fundamentals and quantum machine learning
  • Excellent communication skills for presenting complex technical concepts to C-level executives

Required Skills

AI/ML Architecture Deep Learning MLOps Quantum Computing Neural Networks Generative AI Cloud Infrastructure Ethical AI

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