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Information Technology 🏢 Full Time ⭐️ Verified

AI & Future Tech Lead

InnovateFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateFuture Labs at the forefront of technological evolution as we shape the digital landscape of 2026. We seek a visionary AI & Future Tech Lead to architect groundbreaking solutions that redefine human-machine interaction. This role demands a strategic thinker who can translate emerging trends into scalable products while mentoring cross-functional teams in our state-of-the-art Silicon Valley hub. You'll collaborate with industry pioneers to pioneer quantum computing applications, ethical AI frameworks, and next-gen immersive experiences. Enjoy competitive benefits, unlimited PTO, and a culture where innovation thrives.

Responsibilities

  • Architect AI/ML solutions for 2026-era challenges in healthcare, climate tech, and autonomous systems
  • Lead R&D initiatives in quantum computing, neuromorphic chips, and generative AI ethics
  • Develop 5-year technology roadmaps aligning with global regulatory frameworks
  • Mentor engineers and researchers in emerging tech paradigms (e.g., AGI, swarm intelligence)
  • Secure $10M+ in strategic partnerships with academic institutions and Fortune 500 companies
  • Pioneer industry-first standards for responsible AI deployment in critical infrastructure
  • Present breakthrough innovations at global tech summits (Web Summit, CES, etc.)

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years in bleeding-edge tech
  • Published research in Nature/Science journals on quantum algorithms or neural networks
  • Proven track record shipping 3+ AI products with >1M users
  • Expertise in federated learning, explainable AI (XAI), and adversarial ML defense
  • Fluency in Python/PyTorch with mastery of distributed computing frameworks
  • Deep understanding of EU AI Act, NIST AI RMF, and ethical AI governance
  • Experience securing Series B+ funding for deep tech ventures

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Strategic Planning Neuromorphic Engineering Generative AI Ethical AI Distributed Systems

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