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Senior AI Architect (2026 Vision)

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to engineer the future?

Quantum Leap Dynamics is pioneering the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our next-generation machine learning initiatives. If you thrive on solving complex problems and building scalable systems that define the next decade of technology, we want to meet you.

As a key player in our team, you will bridge the gap between theoretical AI research and production-grade software engineering, ensuring our platforms remain at the forefront of innovation.

Responsibilities

  • System Architecture: Design and implement robust, scalable AI infrastructure capable of handling massive data streams.
  • Leadership: Mentor a high-performing team of data scientists and software engineers, fostering a culture of innovation and technical excellence.
  • Strategic Planning: Define the technical roadmap for AI adoption, ensuring alignment with company goals and industry trends leading up to 2026.
  • Code Quality: Lead code reviews and establish best practices for security, performance, and maintainability.
  • Cross-Functional Collaboration: Work closely with product managers and stakeholders to translate business requirements into technical solutions.
  • R&D: Explore emerging technologies (LLMs, Edge AI) and prototype cutting-edge features.

Qualifications

  • Experience: 10+ years of software engineering experience with at least 5 years in AI/ML architecture.
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, AWS, GCP).
  • Leadership: Proven track record of leading technical teams and managing large-scale projects.
  • Problem Solving: Exceptional analytical skills with a focus on optimizing complex algorithms and system performance.
  • Communication: Ability to articulate complex technical concepts to non-technical stakeholders clearly and concisely.

Required Skills

Python TensorFlow PyTorch Machine Learning Cloud Architecture AWS Kubernetes Leadership System Design

Ready to Take This Challenge?

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