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AI Strategy & Future Tech Lead (2026 Visionary) - San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the trajectory of technology in the year 2026 and beyond? Nexus Future Labs is seeking a visionary AI Strategy & Future Tech Lead to architect the next generation of intelligent systems. In this high-impact role, you won't just implement current trends; you will shape the infrastructure that will define the era of advanced artificial intelligence. Join us in San Francisco to lead a team of elite engineers and data scientists in solving the complex challenges of tomorrow.

We are looking for a thought leader who thrives on ambiguity and possesses a deep understanding of the technological landscape leading up to 2026. You will be responsible for bridging the gap between theoretical AI capabilities and practical, scalable business applications.

Responsibilities

  • Define the 2026 Tech Roadmap: Lead the strategic vision for AI integration, identifying key technological milestones and emerging trends for the next 3-5 years.
  • R&D Leadership: Oversee the research and development of cutting-edge machine learning models, ensuring they are scalable, secure, and ethically sound.
  • Executive Collaboration: Partner with C-suite executives to translate future tech trends into actionable product strategy and operational goals.
  • Infrastructure Architecture: Design and manage the architecture of cloud-native AI infrastructure, optimizing for performance and reliability.
  • Team Mentorship: Foster a culture of innovation and technical excellence by mentoring senior engineers and fostering cross-functional collaboration.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Experience: Minimum of 8 years of experience in AI/ML engineering, with at least 3 years in a strategic leadership or architect role.
  • Technical Proficiency: Deep expertise in Deep Learning, Natural Language Processing (NLP), or Computer Vision.
  • Strategic Mindset: Proven track record of delivering complex AI systems that have impacted millions of users.
  • Communication: Excellent ability to articulate complex technical concepts to non-technical stakeholders and board members.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch Strategic Planning Cloud Architecture Leadership Ethics in AI NLP Computer Vision

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