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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: 2026 AI Horizon Initiative

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead Architect to spearhead the 2026 AI Horizon Initiative. In this pivotal role, you will define the technical roadmap for the next generation of autonomous systems, ensuring our solutions remain at the forefront of innovation for the decade ahead.

At Quantum Leap Dynamics, we don't just build software; we engineer the future. You will collaborate with cross-functional teams to architect scalable, resilient, and intelligent platforms that will define the industry standard by 2026.

Responsibilities

  • Architect and oversee the technical strategy for the 2026 AI Horizon project, ensuring alignment with long-term business goals.
  • Lead a team of senior engineers and data scientists in the development of cutting-edge machine learning models.
  • Define and enforce best practices for cloud infrastructure, security, and scalability.
  • Conduct deep-dive technical reviews and provide mentorship to junior and mid-level developers.
  • Translate complex business requirements into robust technical architectures.
  • Stay ahead of emerging trends in AI and distributed systems to keep our 2026 roadmap competitive.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in software architecture, with a focus on AI/ML systems.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of leading high-impact engineering teams through complex product lifecycles.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow Distributed Systems Cloud Architecture Machine Learning Leadership

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