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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Future of Work

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological roadmap for 2026 and beyond. As a pioneer in the AI space, you will be responsible for designing scalable, secure, and ethical artificial intelligence systems that drive our next generation of products.

In this role, you will bridge the gap between theoretical research and production-grade engineering. You will work with a world-class team of data scientists, engineers, and product managers to deploy state-of-the-art Large Language Models (LLMs) and autonomous agents.

Why join us? We offer competitive equity, a remote-first culture, and the opportunity to shape the future of human-computer interaction.

Responsibilities

  • Design and architect end-to-end AI solutions that align with our long-term strategic vision.
  • Lead the migration and optimization of existing ML pipelines to support next-gen infrastructure.
  • Collaborate with cross-functional teams to integrate AI capabilities into customer-facing products.
  • Establish best practices for MLOps, data governance, and model explainability.
  • Conduct technical reviews and mentor junior engineers to foster a culture of innovation.
  • Stay at the forefront of emerging technologies (e.g., Quantum Computing, Neural Interfaces) and evaluate their applicability.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in Artificial Intelligence or Machine Learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools (Kubeflow, MLflow).
  • Strong background in distributed systems, cloud architecture (AWS, GCP, or Azure), and microservices.
  • Experience deploying and scaling LLMs and Generative AI applications in production environments.
  • Proven track record of leading technical teams and driving strategic initiatives.
  • Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Cloud Architecture AWS GCP Leadership

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