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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect - 2026 Vision

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are Apex Future Systems, a pioneering force in the next generation of enterprise intelligence. As we prepare to redefine the technological landscape leading into 2026, we are seeking a visionary Principal AI Architect to lead our R&D division. You will be at the forefront of designing scalable, ethical, and transformative AI systems that power our global infrastructure.

In this role, you won't just maintain systems; you will architect the future. We are looking for someone who thrives on ambiguity and possesses the technical prowess to build generative AI models and autonomous agents that will be industry standards in 2026 and beyond.

Why Join Us?

  • Work on cutting-edge generative AI and LLM integration.
  • Shape the technical roadmap for the next 3+ years.
  • Competitive equity package and high-impact work.

Responsibilities

  • Define and execute the long-term technical strategy for AI infrastructure, specifically targeting 2026 scalability and efficiency goals.
  • Lead the design and implementation of complex machine learning pipelines and neural network architectures.
  • Collaborate with cross-functional teams (Product, Engineering, Security) to integrate AI solutions into core products.
  • Mentor senior engineers and architects, fostering a culture of innovation and continuous learning.
  • Ensure ethical AI practices, data privacy, and compliance with emerging regulations.
  • Conduct proof-of-concept research for emerging technologies like Agentic workflows and Multimodal AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar frameworks.
  • Proven experience deploying large-scale LLMs and generative models in production environments.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and distributed systems.
  • Exceptional leadership skills with a track record of managing high-performance engineering teams.
  • Excellent written and verbal communication skills.

Required Skills

Python Machine Learning Deep Learning LLMs PyTorch TensorFlow AWS GCP Distributed Systems Leadership Cloud Architecture Generative AI

Ready to Take This Challenge?

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