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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Strategic Initiative

Quantum Leap Corp
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the 2026 Strategic Initiative. As a pioneer in next-generation technology, Quantum Leap Corp is building the infrastructure that will define the future of artificial intelligence. You will be at the forefront of innovation, designing scalable, secure, and high-performance AI systems that set the standard for the industry.

In this high-impact role, you will bridge the gap between theoretical AI research and practical, enterprise-level application. You will lead a team of elite engineers and data scientists to deliver breakthrough solutions that power our 2026 roadmap. If you are passionate about the future of technology and want to leave a lasting legacy in the tech world, we want to meet you.

Responsibilities

  • Define and architect the comprehensive technical roadmap for the 2026 Strategic Initiative, ensuring alignment with business goals.
  • Lead the design and implementation of advanced AI and Machine Learning models, optimizing for performance, latency, and cost.
  • Mentor and manage a cross-functional team of engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with product leaders to translate complex business requirements into robust technical solutions.
  • Ensure the security, scalability, and reliability of all systems deployed as part of the 2026 ecosystem.
  • Stay abreast of cutting-edge developments in AI, Cloud Computing, and Distributed Systems to drive continuous improvement.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Proven track record of leading large-scale AI projects and delivering results in high-pressure environments.
  • Strong understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).
  • Exceptional leadership and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture Distributed Systems Cloud Computing Leadership TensorFlow PyTorch

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