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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy & Innovation Lead

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary AI Strategy & Innovation Lead to architect next-generation AI frameworks that will redefine industries. In this role, you'll drive our AI roadmap from conceptualization to execution, collaborating with cross-functional teams to build scalable, ethical AI systems that solve complex global challenges. You'll lead research initiatives in generative AI, autonomous systems, and human-AI collaboration while mentoring a team of brilliant minds. If you're passionate about shaping the future of technology and thrive in environments where innovation meets impact, this is your calling.

Responsibilities

  • Architect and execute AI strategy aligned with 2026 technological roadmaps
  • Lead cross-functional teams in developing cutting-edge AI solutions for enterprise clients
  • Drive R&D initiatives in generative AI, neural networks, and human-computer interaction
  • Establish ethical AI frameworks ensuring compliance and responsible innovation
  • Collaborate with C-suite executives to align AI initiatives with business objectives
  • Mentor AI researchers and engineers while fostering a culture of continuous innovation
  • Present breakthrough findings at industry conferences and publish in top-tier journals

Qualifications

  • PhD in Computer Science, AI, or related field with 8+ years industry experience
  • Proven track record of shipping production-level AI systems at scale
  • Expertise in transformer architectures, reinforcement learning, and MLOps
  • Deep understanding of AI ethics, bias mitigation, and regulatory landscapes
  • Exceptional leadership experience managing cross-functional technical teams
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Strong background in cloud-native AI deployment (AWS/GCP/Azure)
  • Strategic thinking with ability to translate technical vision into business impact

Required Skills

AI Strategy Machine Learning Deep Learning Generative AI Ethics Leadership Research Cloud Computing Neural Networks MLOps

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