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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategist

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary 2026 AI Strategist to lead our advanced technology initiatives. In this pivotal role, you will define the technological roadmap that will define the next era of artificial intelligence and machine learning. You will bridge the gap between complex engineering and high-level business strategy, ensuring our solutions are scalable, ethical, and ahead of the curve.

Join a team of elite engineers and designers dedicated to shaping the future. You will work in a high-performance environment where innovation is not just encouraged but expected.

Responsibilities

  • Define the 2026 Roadmap: Create and communicate a comprehensive technological vision for the company’s AI initiatives through the year 2026.
  • Strategic Leadership: Lead cross-functional teams in the design, development, and deployment of next-generation AI architectures.
  • Market Analysis: Identify emerging trends in Generative AI and Quantum computing to maintain a competitive edge.
  • Stakeholder Management: Translate complex technical concepts into actionable insights for executive leadership and investors.
  • Process Optimization: Establish best practices for AI governance, data security, and ethical usage.

Qualifications

  • Experience: 8+ years of experience in software engineering, data science, or strategic product management.
  • Technical Expertise: Deep understanding of Large Language Models (LLMs), neural networks, and cloud infrastructure.
  • Leadership: Proven track record of managing high-performing teams and delivering complex projects on time.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree is preferred.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.

Required Skills

AI Strategy Machine Learning Cloud Architecture Generative AI Project Management Leadership

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