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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategist - Project 2026

FutureScale Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are building the future. Join FutureScale Technologies as the lead architect for Project 2026, our ambitious initiative to deploy autonomous AI infrastructure across urban environments by the target year of 2026. This is a rare opportunity to define the roadmap for the next decade of technological advancement.

In this role, you will bridge the gap between visionary strategy and technical execution. You will lead a world-class team of engineers and data scientists, ensuring our systems are not only scalable but ethically sound and future-proof. If you thrive in high-pressure environments and want to leave a legacy in the AI space, we want to hear from you.

Responsibilities

  • Define and execute the technical roadmap for Project 2026, aligning AI capabilities with long-term business objectives.
  • Lead architecture reviews and technical decision-making for complex machine learning systems.
  • Collaborate with product managers, legal teams, and urban planners to integrate AI solutions into real-world infrastructure.
  • Mentor senior engineers and foster a culture of innovation and continuous learning within the AI division.
  • Identify emerging technologies (e.g., Neuromorphic Computing, Quantum AI) and assess their viability for the 2026 timeline.
  • Oversee performance optimization and security protocols for large-scale data deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior leadership or architectural role.
  • Deep expertise in Deep Learning, Natural Language Processing (NLP), or Computer Vision.
  • Proven track record of deploying large-scale AI systems in production environments.
  • Exceptional communication skills, capable of translating complex technical concepts to non-technical stakeholders.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch AWS Kubernetes System Architecture Leadership Strategic Planning

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