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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Visionary

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to architect the digital landscape of 2026?

FutureCore Systems is seeking a visionary Senior AI Architect to lead our next-generation initiatives. In this pivotal role, you will define the technical roadmap for our AI infrastructure, ensuring we are not just keeping up with the future, but defining it. You will bridge the gap between theoretical AI potential and scalable, real-world application.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to build systems that are resilient, intelligent, and future-proof.

Responsibilities

  • Strategic Roadmap: Define and execute the long-term technical vision for AI and machine learning integration across the organization, specifically targeting 2026 readiness.
  • System Architecture: Design and oversee the implementation of complex, scalable AI systems and cloud-native architectures.
  • Team Leadership: Mentor and inspire a high-performing team of data scientists, ML engineers, and software developers.
  • Cross-Functional Collaboration: Work closely with product, engineering, and executive leadership to translate business goals into technical specifications.
  • Innovation & Research: Stay ahead of industry trends, emerging technologies, and competitive landscapes to drive innovation.
  • Security & Compliance: Ensure all AI systems adhere to the highest standards of data security, privacy, and ethical AI practices.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 5 years in a senior architectural role within the AI/ML space.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, or Azure).
  • Leadership: Demonstrated ability to lead high-performance teams and manage complex projects from conception to deployment.
  • Problem Solving: Exceptional analytical and problem-solving skills with a focus on architectural scalability.
  • Communication: Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS GCP Cloud Architecture System Design Leadership Strategic Planning

Ready to Take This Challenge?

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