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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Strategist (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are pioneering the technological landscape of the future. As we prepare for the transformative year of 2026, we are seeking a visionary Lead AI Strategist to define and execute our roadmap for Artificial General Intelligence (AGI) adoption. This is not just a job; it is a mission to shape the next era of human-machine collaboration.

In this role, you will bridge the gap between cutting-edge research and scalable product implementation. You will lead a team of elite engineers and data scientists, ensuring our platforms are future-proofed for the demands of 2026 and beyond.

Responsibilities

  • Architect and oversee the end-to-end AI strategy for our core product suite, specifically targeting capabilities for the 2026 market cycle.
  • Lead a high-performance R&D team in deploying advanced Neural Networks and Large Language Models (LLMs).
  • Identify emerging AI trends and evaluate their potential impact on our business roadmap, ensuring we remain a market leader.
  • Collaborate with cross-functional departments to integrate AI-driven automation into existing workflows.
  • Define technical roadmaps, establish best practices, and drive innovation in ethical AI development.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field with a focus on Artificial Intelligence.
  • Minimum of 8 years of experience in AI/ML engineering, with at least 3 years in a strategic leadership or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and cloud infrastructure (AWS/Azure/GCP).
  • Proven track record of successfully launching AI products in the market.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Passion for the future of technology and a clear vision for the AI landscape in 2026.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python Cloud Computing R&D Strategic Planning Leadership

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