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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Strategist - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to define the technology landscape of 2026 and beyond?

Nexus Future Systems is seeking a visionary Senior Artificial Intelligence Strategist to lead our cutting-edge research division. You will be at the forefront of integrating generative AI, predictive analytics, and ethical frameworks into scalable enterprise solutions. This is not just a job; it is an opportunity to build the future.

We are looking for a leader who can navigate the complexities of the AI era, ensuring our systems are not only powerful but also responsible and scalable.

Responsibilities

  • Architect and deploy next-generation AI models tailored for 2026 enterprise needs.
  • Lead the strategic roadmap for AI adoption across all product lines, focusing on long-term scalability.
  • Ensure data integrity, security, and ethical compliance in all algorithmic implementations.
  • Collaborate with cross-functional teams to translate complex data insights into actionable business strategies.
  • Mentor a high-performing team of data scientists and engineers.
  • Conduct market research to identify emerging AI trends and technologies.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of progressive experience in AI/ML architecture and development.
  • Deep expertise in Python, TensorFlow, PyTorch, and Large Language Models (LLMs).
  • Proven track record of leading technical teams and managing large-scale projects.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and MLOps pipelines.
  • Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Artificial Intelligence Cloud Computing MLOps Leadership Generative AI

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