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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategist - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future of technology?

Nexus Future Labs is seeking a visionary Senior AI Strategist to define the technological roadmap for 2026. In this high-impact role, you will bridge the gap between theoretical research and scalable enterprise solutions, guiding our engineering teams toward a future dominated by advanced generative intelligence.

Why Join Us?

We are not just predicting the future; we are building it. You will work in a state-of-the-art environment with top-tier talent, focusing on the convergence of Artificial General Intelligence (AGI) and ethical infrastructure.

The Role

You will be responsible for steering the long-term technical vision of our flagship products, ensuring we remain at the bleeding edge of innovation as we approach the technological singularity.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic planning for AI infrastructure, identifying key milestones for AGI integration.
  • R&D Leadership: Oversee research initiatives focusing on next-generation neural networks and quantum-assisted machine learning.
  • Architecture Design: Design scalable, secure, and efficient AI systems capable of handling exabyte-scale data processing.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable strategies for executives and product teams.
  • Ethical Frameworks: Establish and enforce guidelines for AI safety, bias mitigation, and transparency.
  • Talent Development: Mentor a team of senior engineers and data scientists, fostering a culture of innovation.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in AI/ML engineering or strategic technology consulting, with at least 3 years in a leadership capacity.
  • Technical Expertise: Deep understanding of Transformer architectures, LLMs, and reinforcement learning.
  • Strategic Vision: Proven track record of defining long-term technology roadmaps and driving innovation.
  • Communication: Exceptional ability to communicate complex technical strategies to diverse audiences.
  • Problem Solving: Ability to navigate ambiguity and solve unstructured problems in emerging tech landscapes.

Required Skills

Artificial Intelligence Machine Learning Strategy AGI Neural Networks Leadership Quantum Computing Data Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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