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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect | Project 2026 Vision

Quantum Leap Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our revolutionary "Project 2026" initiative. This is a high-impact opportunity to define the technical backbone of our organization's next-generation generative intelligence platform.

In this role, you will translate complex strategic goals into scalable, robust, and ethically sound technical solutions. You will lead a team of elite engineers and data scientists, driving innovation that pushes the boundaries of what is possible in artificial intelligence.

Responsibilities

  • Define and execute the technical vision for Project 2026, focusing on scalable AI infrastructure and next-gen neural networks.
  • Lead a high-performance engineering team, fostering a culture of innovation, mentorship, and technical excellence.
  • Design enterprise-grade systems capable of handling petabyte-scale data processing in real-time with zero latency.
  • Drive architectural decision-making, ensuring security, reliability, and performance across all deployed machine learning models.
  • Partner with product stakeholders to prioritize features that align with our aggressive 2026 roadmap and market expansion.
  • Oversee the entire MLOps lifecycle, from data ingestion to model deployment and monitoring.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • 10+ years of experience in software architecture, with at least 5 years in leading AI/ML engineering teams.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS/GCP/Azure).
  • Proven track record of delivering complex, large-scale systems on time and within budget.
  • Strong understanding of machine learning lifecycles, MLOps, and data governance best practices.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow PyTorch Kubernetes AWS MLOps Leadership

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