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Lead AI Architect (2026 Vision)

Quantum Leap Technologies
San Francisco, California
Estimated Salary
USD 160.000 – USD 230.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the next era of intelligence. Quantum Leap Technologies is seeking a visionary Lead AI Architect (2026 Vision) to define the roadmap for our upcoming generative intelligence platforms. You will be at the forefront of building the systems that will power the digital landscape of 2026 and beyond.

In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will lead a world-class team in designing, building, and deploying AI models that redefine user experience and operational efficiency. Join us in shaping the future.

Responsibilities

  • Architect the 2026 Roadmap: Define the long-term technical strategy for our AI ecosystem, ensuring scalability and innovation aligned with the 2026 vision.
  • Lead Model Development: Spearhead the research and development of next-generation Generative AI and Large Language Models (LLMs).
  • Infrastructure Scalability: Design robust, fault-tolerant infrastructure capable of handling high-throughput inference and training workloads.
  • Cross-Functional Leadership: Collaborate with product managers, engineers, and stakeholders to translate business goals into technical specifications.
  • Ethical AI Governance: Establish and enforce best practices for AI safety, fairness, and bias mitigation in all deployed models.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior leadership role.
  • Technical Mastery: Deep expertise in PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
  • AI Specialization: Proven track record of deploying state-of-the-art NLP or Computer Vision models into production environments.
  • Strategic Vision: Ability to anticipate technological trends and translate them into actionable engineering strategies.

Required Skills

Python PyTorch TensorFlow Kubernetes Distributed Systems NLP LLMs Machine Learning Engineering Leadership Strategy

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