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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategist - 2026 Roadmap

FutureScale Solutions
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the technological landscape of tomorrow? FutureScale Solutions is seeking a visionary Senior AI Strategist to lead our groundbreaking initiatives for the 2026 Roadmap. We are not just predicting the future; we are architecting it.

In this pivotal role, you will bridge the gap between advanced artificial intelligence research and practical business application. You will be responsible for defining the long-term technological vision that will drive our products and services into the next decade. If you thrive in a high-impact environment and possess a deep understanding of emerging tech trends, this is your opportunity to make history.

Responsibilities

  • Lead Strategic Roadmap: Define and execute the comprehensive 2026 technology roadmap, identifying key AI and automation opportunities.
  • R&D Leadership: Oversee research initiatives to evaluate emerging technologies (e.g., Generative AI, Quantum-ready algorithms) and determine their applicability.
  • Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to translate complex technical concepts into actionable business strategies.
  • Trend Analysis: Monitor global technology trends, regulatory changes, and competitive landscapes to ensure FutureScale remains ahead of the curve.
  • Team Mentorship: Guide a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Stakeholder Communication: Present complex technical roadmaps to non-technical stakeholders, ensuring alignment across the organization.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
  • Experience: Minimum of 8+ years of experience in AI, machine learning, or strategic technology roles, with at least 3 years in a leadership capacity.
  • Technical Expertise: Deep understanding of machine learning algorithms, neural networks, and large language models (LLMs).
  • Strategic Vision: Proven track record of successfully leading long-term tech initiatives and delivering measurable business results.
  • Communication Skills: Exceptional ability to communicate complex ideas clearly to diverse audiences.
  • Problem Solving: Demonstrated ability to solve complex problems using data-driven approaches.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Data Science Leadership R&D Roadmap Management Python TensorFlow

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