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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Visionary)

Apex Future Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our next-generation research division. As we look toward the future of technology in 2026 and beyond, we need a technical leader who can bridge the gap between theoretical AI models and scalable production systems.

In this role, you will define the architectural blueprints for our autonomous systems and large language model (LLM) infrastructure. You will work at the intersection of data science, software engineering, and product strategy to build solutions that are not only powerful but ethically sound and future-proof.

Why join us?

  • Work on cutting-edge Agentic AI technologies.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a San Francisco hub.

Responsibilities

  • Architect and design scalable, high-performance AI infrastructure for enterprise applications.
  • Lead the development and deployment of Large Language Models (LLMs) and generative AI tools.
  • Mentor a team of senior data scientists and software engineers to foster a culture of innovation.
  • Collaborate with product teams to translate complex technical requirements into architectural solutions.
  • Ensure data privacy, security, and compliance with global standards (GDPR, CCPA).
  • Conduct code reviews, performance tuning, and system optimization.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of MLOps, model deployment pipelines, and A/B testing methodologies.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Master's degree in Computer Science, Machine Learning, or a related field is preferred.

Required Skills

Python Machine Learning Deep Learning AWS MLOps TensorFlow PyTorch Docker Kubernetes System Architecture

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