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2026 AI Strategy Architect | San Francisco, CA

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are seeking a visionary 2026 AI Strategy Architect to lead our groundbreaking research division. In an era defined by rapid technological advancement, you will be the architect of our artificial intelligence roadmap, ensuring we stay ahead of the curve in a world that is evolving faster than ever. This is not just a job; it is an opportunity to shape the future of human-machine interaction.

You will bridge the gap between cutting-edge technical feasibility and high-level business strategy. If you have a passion for the future and a deep understanding of AI architectures, we want to hear from you.

Responsibilities

  • Define and execute the comprehensive AI strategic roadmap for the 2026 fiscal cycle and beyond.
  • Lead the design and deployment of next-generation neural network architectures.
  • Collaborate with C-level executives to translate complex AI capabilities into business value.
  • Oversee the integration of emerging technologies, such as generative AI and autonomous agents.
  • Identify and mitigate ethical risks associated with large-scale AI implementation.
  • Mentor a team of elite AI researchers and software engineers.

Qualifications

  • 10+ years of experience in Artificial Intelligence, Machine Learning, or Software Engineering.
  • Proven track record in strategic planning and architectural leadership within a tech-focused environment.
  • Deep technical expertise in Python, PyTorch, or TensorFlow.
  • Strong understanding of LLMs (Large Language Models) and transformer architectures.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience managing cross-functional teams in a fast-paced, agile environment.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning System Architecture Python Leadership Deep Learning Neural Networks

Ready to Take This Challenge?

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