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Lead AI Architect (2026 Vision)

Quantum Horizon Corp
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Quantum Horizon Corp as our Lead AI Architect and define the technological landscape for the year 2026. We are not just building software; we are architecting the future. As a pioneer in next-generation artificial intelligence, we are looking for a visionary leader to translate high-level strategic goals into robust, scalable technical roadmaps.

In this pivotal role, you will lead the design and implementation of our flagship 2026 AI initiatives, ensuring our infrastructure is ready for the demands of tomorrow. You will work at the intersection of deep learning, cloud architecture, and strategic foresight to deliver products that set industry standards.

Why join us?

  • Work on cutting-edge projects that define the 2026 technology horizon.
  • Competitive compensation package with equity opportunities.
  • Flexible work environment and top-tier benefits.

Responsibilities

  • Define and execute the technical roadmap for our 2026 AI product suite, aligning with business objectives.
  • Lead a high-performing engineering team in the design and deployment of scalable machine learning models.
  • Oversee the architecture of our data pipelines, ensuring high availability and real-time processing capabilities.
  • Conduct architectural reviews to mitigate technical debt and ensure system resilience.
  • Collaborate with product managers and stakeholders to translate complex 2026 vision requirements into technical specifications.
  • Stay ahead of emerging AI trends and integrate them into our strategic planning process.

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 senior leadership or architecture role.
  • Proven track record of leading AI/ML initiatives from concept to production.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Exceptional communication skills, capable of bridging the gap between technical teams and executive leadership.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture TensorFlow PyTorch System Design Leadership

Ready to Take This Challenge?

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