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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Innovation Lab

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are pioneering the next generation of intelligent systems, and we are looking for a visionary Senior AI Architect to define the roadmap for our 2026 products. If you are passionate about pushing the boundaries of Generative AI, Neural Interfaces, and Autonomous Systems, we want to hear from you.

In this role, you will lead the technical strategy for our flagship "Year 2026" initiatives, ensuring our infrastructure is scalable, secure, and at the forefront of technological innovation. You will work directly with C-level executives to translate complex business requirements into cutting-edge technical solutions.

Why Join Us?

  • Shape the future of technology with a team of industry pioneers.
  • Competitive compensation package including equity options.
  • Flexible remote-first policy with a hub in San Francisco.
  • Access to state-of-the-art hardware and cloud resources.

Responsibilities

  • Define and execute the technical roadmap for the 2026 product suite, focusing on Generative AI and Predictive Analytics.
  • Design scalable, high-performance machine learning architectures that integrate seamlessly with legacy systems.
  • Lead a team of data scientists and engineers to optimize model training pipelines and reduce inference latency.
  • Ensure data privacy, security, and ethical AI compliance across all 2026 project deliverables.
  • Mentor junior staff and conduct technical reviews to foster a culture of excellence.
  • Stay ahead of emerging trends in Quantum Computing and Edge AI to inform long-term strategy.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 8 years of experience in AI/ML engineering, with at least 3 years in a leadership or architecture role.
  • Deep expertise in Python, TensorFlow, PyTorch, and MLOps tools.
  • Proven track record of deploying large-scale LLMs and NLP solutions.
  • Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP).
  • Excellent communication skills with the ability to bridge the gap between technical and non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS MLOps System Design NLP Machine Learning Generative AI Cloud Architecture

Ready to Take This Challenge?

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