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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Edition)

Quantum Leap AI
Seattle
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are building the infrastructure for the future. Quantum Leap AI is seeking a visionary Senior AI Architect (2026 Edition) to lead the strategic design and implementation of our next-generation generative models. In this role, you won't just be maintaining systems; you will be defining the roadmap that will define our capabilities through 2026 and beyond.

If you are passionate about the bleeding edge of artificial intelligence, possess a deep understanding of large language models, and want to work in a high-growth, elite engineering environment, we want to meet you.

Why Join Us?

  • Work on the core technology powering the 2026 AI revolution.
  • Competitive equity and a top-tier compensation package.
  • Flexible remote-first culture with a focus on outcomes.

Responsibilities

  • Architect the 2026 Roadmap: Design the high-level system architecture for our flagship AI suite, ensuring scalability, security, and performance.
  • Model Optimization: Lead initiatives to optimize transformer models for edge deployment and real-time inference.
  • Technical Strategy: Evaluate emerging AI technologies (multimodal, agentic workflows) and integrate them into our product ecosystem.
  • Team Leadership: Mentor a team of senior ML engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stakeholder Management: Translate complex technical requirements into business value for stakeholders and product teams.
  • Security & Compliance: Ensure all AI implementations adhere to strict data privacy and ethical AI guidelines.

Qualifications

  • Education: Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software engineering with a focus on AI/ML, including at least 3 years in a senior architectural role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • AI Expertise: Proven track record of deploying large-scale LLMs (e.g., GPT, Llama) and fine-tuning strategies.
  • Problem Solving: Exceptional ability to deconstruct complex problems and engineer scalable solutions.
  • Communication: Excellent written and verbal communication skills, capable of presenting technical concepts to non-technical audiences.

Required Skills

Python PyTorch TensorFlow Large Language Models Machine Learning Architecture Distributed Systems Kubernetes AWS Docker Generative AI NLP

Ready to Take This Challenge?

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