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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

FutureSync Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to architect the future of technology? FutureSync Systems is seeking a visionary Lead AI Architect to define the technical roadmap for our upcoming 2026 product suite. As we stand on the precipice of the next technological revolution, your role will be pivotal in building scalable, intelligent systems that will define the industry standard.

In this high-impact role, you will not only write code but also define the culture of innovation. We are looking for a leader who can bridge the gap between complex theoretical AI research and practical, high-performance production environments.

Why join us?

  • Work on cutting-edge generative AI and predictive modeling projects.
  • Competitive compensation package and equity options.
  • Flexible remote and hybrid work policies.

Responsibilities

  • Strategic Roadmap Planning: Define and execute the technical vision for AI initiatives leading up to the 2026 product launch.
  • System Architecture: Design scalable, fault-tolerant machine learning pipelines and infrastructure.
  • Team Leadership: Mentor and manage a cross-functional team of data scientists, ML engineers, and researchers.
  • Model Optimization: Oversee the deployment of large-scale deep learning models ensuring high throughput and low latency.
  • Collaboration: Partner with product managers and stakeholders to translate business requirements into technical blueprints.
  • R&D: Stay ahead of industry trends to integrate emerging technologies into our core stack.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: Minimum 8+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • Leadership: Proven track record of leading engineering teams and managing technical debt.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in dynamic environments.
  • Communication: Excellent verbal and written communication skills for technical presentations.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Cloud Computing AWS GCP System Architecture Leadership

Ready to Take This Challenge?

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