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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Futurist Engineer

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we architect the future of AI-driven systems. We're seeking a visionary Senior AI Futurist Engineer to pioneer next-generation solutions that will redefine industries by 2026. This role combines deep technical expertise with strategic foresight to develop scalable AI frameworks, quantum-resistant algorithms, and autonomous systems for our Fortune 500 partners. You'll lead cross-functional teams in creating ethical AI governance frameworks while mentoring junior engineers in cutting-edge machine learning techniques. Our state-of-the-art lab in San Francisco offers unparalleled resources to turn visionary concepts into reality.

Responsibilities

  • Design and implement quantum-resistant AI architectures for 2026-scale deployments
  • Lead R&D initiatives for autonomous decision-making systems with ethical guardrails
  • Develop predictive models for emerging technology adoption patterns
  • Collaborate with C-suite executives to integrate AI into strategic roadmaps
  • Establish industry-wide standards for responsible AI development
  • Mentor engineers in federated learning and edge AI optimization
  • Author white papers on AI's societal impact and mitigation strategies

Qualifications

  • 10+ years in AI/ML with 5+ years in strategic technology forecasting
  • PhD or equivalent in Computer Science, AI, or related field
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Expertise in transformer architectures, reinforcement learning, and federated systems
  • Experience leading $5M+ AI initiatives in regulated industries
  • Certification in AI ethics (IEEE, ACM, or equivalent)
  • Portfolio demonstrating deployment of AI systems at 10M+ user scale

Required Skills

AI/ML Quantum Computing Strategic Foresight Ethical AI Federated Learning Reinforcement Learning Large Language Models

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