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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Strategy Architect (2026 Vision)

Apex Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Apex Future Tech is seeking a visionary Senior AI Strategy Architect to lead our next-generation innovation initiatives. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and scalable enterprise architecture. We are looking for a thought leader who can anticipate industry shifts and drive our strategic roadmap forward.


As a key member of our leadership team, you will be responsible for identifying emerging AI trends and translating them into actionable business strategies. If you thrive in a fast-paced, high-growth environment and want to build the future of intelligent systems, we want to hear from you.

Responsibilities

  • Define and execute the comprehensive AI and technology strategy roadmap aligned with our 2026 business objectives.
  • Oversee the architecture of large-scale machine learning models, neural networks, and predictive analytics platforms.
  • Collaborate with cross-functional teams—including product management, engineering, and data science—to integrate AI solutions seamlessly.
  • Lead technical initiatives to improve system scalability, data integrity, and processing speed.
  • Identify and evaluate emerging technologies (e.g., LLMs, Quantum Computing) to ensure Apex remains at the forefront of innovation.
  • Mentor senior engineers and foster a culture of continuous learning and technical excellence.

Qualifications

  • 10+ years of experience in software engineering, artificial intelligence, or machine learning.
  • Proven track record of leading complex technical projects from concept through to deployment.
  • Deep expertise in deep learning frameworks (TensorFlow, PyTorch) and Natural Language Processing (NLP).
  • Strong background in cloud infrastructure (AWS, Azure, or GCP) and microservices architecture.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

Artificial Intelligence Machine Learning Strategy Python Cloud Architecture System Design Leadership

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