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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect 2026

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Quantum Leap Technologies at the forefront of technological evolution as we architect the AI landscape of 2026. We're seeking an innovative AI Solutions Architect to design and implement next-generation artificial intelligence systems that will redefine industries. This pivotal role combines strategic vision with hands-on technical expertise to build scalable, ethical AI solutions for our global enterprise clients.

As a key member of our Future Technologies Division, you'll collaborate with cross-functional teams to transform complex business challenges into cutting-edge AI implementations. We offer a dynamic environment where your contributions directly shape the future of human-machine collaboration, with competitive compensation, comprehensive benefits, and unparalleled growth opportunities.

Responsibilities

  • Design and implement scalable AI/ML solutions aligned with 2026 technological roadmaps
  • Lead end-to-end architecture development from concept to deployment
  • Integrate emerging technologies (quantum computing, neuromorphic chips) into production systems
  • Develop ethical AI governance frameworks and bias mitigation protocols
  • Optimize model performance for edge computing and distributed systems
  • Present technical blueprints to C-level stakeholders and industry partners
  • Mentor junior architects on future-proof design principles

Qualifications

  • 10+ years in AI/ML architecture with 5+ years in enterprise-scale deployments
  • Expertise in distributed AI systems and federated learning frameworks
  • Deep understanding of quantum computing principles and their AI applications
  • Proven experience designing ethical AI systems with bias mitigation
  • Proficiency in cloud-native AI platforms (AWS SageMaker, Azure ML, GCP Vertex)
  • Strong background in MLOps and CI/CD for AI pipelines
  • PhD or equivalent in Computer Science, AI, or related field

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Distributed Systems MLOps AI Ethics Cloud Architecture Neuromorphic Engineering

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