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Senior AI Architect (2026 Cohort)

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our groundbreaking initiatives for the 2026 roadmap. If you are passionate about the future of artificial intelligence and want to shape the technology of tomorrow, this is your opportunity to join a world-class team building the next generation of intelligent systems.

At QuantumLeap Innovations, we don't just predict the future; we engineer it. You will be at the forefront of integrating cutting-edge neural networks and predictive algorithms into scalable enterprise solutions. Join us to define the standard for AI excellence in the year 2026 and beyond.

Why Join Us?

  • Work with state-of-the-art hardware and software stacks.
  • Competitive equity package and benefits.
  • Flexible remote-first culture with a dynamic San Francisco hub.

Responsibilities

  • Design and architect scalable deep learning frameworks tailored for 2026 performance standards.
  • Lead the end-to-end lifecycle of AI model development, from data ingestion to deployment.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Optimize existing models for efficiency and reduce inference latency in high-traffic environments.
  • Stay ahead of industry trends to ensure our technology stack remains future-proof.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 5+ years of professional experience in AI/ML engineering.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying large-scale machine learning models.
  • Strong understanding of cloud architecture (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to work in a fast-paced startup environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture AWS GCP Leadership Data Engineering

Ready to Take This Challenge?

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