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Information Technology 🏒 Full Time ⭐️ Verified

Chief AI Strategist: 2026 Horizon

Nexus Future Labs
San Francisco
Estimated Salary
USD 250.000 – USD 420.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the future of technology?

Nexus Future Labs is seeking a visionary Chief AI Strategist to lead our roadmap for the 2026 Horizon. In this high-impact role, you will bridge the gap between theoretical advancements in Artificial General Intelligence (AGI) and practical, scalable enterprise solutions. You will be the architect of our next-generation AI ecosystem, ensuring we remain at the forefront of innovation as we approach the pivotal year of 2026.

We are not just building tools; we are engineering the fabric of the future. If you possess a deep understanding of AI ethics, predictive modeling, and strategic foresight, we want to hear from you.

Responsibilities

  • Strategic Roadmapping: Define and execute the comprehensive technology roadmap for Nexus Future Labs leading up to and through 2026, focusing on AGI integration and quantum-enhanced machine learning.
  • Innovation Leadership: Identify emerging AI trends and technologies (e.g., Neuro-symbolic AI, Synthetic Data) and integrate them into our core product suite.
  • Stakeholder Collaboration: Translate complex technical concepts into compelling narratives for investors, board members, and engineering teams to secure buy-in for long-term projects.
  • R&D Oversight: Direct a team of elite researchers and engineers in developing prototypes for the next generation of predictive analytics and autonomous systems.
  • AI Governance: Establish and enforce ethical guidelines and safety protocols for AI deployment to ensure responsible innovation.
  • Market Positioning: Work with marketing to position Nexus Future Labs as the industry leader in futuristic technology solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related technical field with a focus on AI.
  • Experience: Minimum of 10 years of experience in AI research, software engineering, or executive leadership within a tech-forward organization.
  • Technical Expertise: Deep knowledge of machine learning frameworks, neural network architectures, and large language model (LLM) fine-tuning.
  • Strategic Vision: Demonstrated ability to anticipate industry shifts and develop long-term strategic plans that align with business objectives.
  • Communication: Exceptional verbal and written communication skills, with the ability to present to diverse audiences.
  • Leadership: Proven track record of managing high-performance teams and driving cross-functional collaboration.

Required Skills

Artificial Intelligence Machine Learning AGI Strategic Planning Neural Networks Quantum Computing Leadership Data Science Ethics R&D

Ready to Take This Challenge?

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