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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Tech Roadmap

Apex Innovation Labs
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of our proprietary technology stack for the 2026 era. As a leader in the tech industry, we are building the future of autonomous systems and generative intelligence, and we need an expert to architect scalable, secure, and efficient AI solutions.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will be responsible for defining the architectural standards that will power our platforms through 2026 and beyond. If you are passionate about pushing the boundaries of what is possible with machine learning and want to work on cutting-edge projects, we want to meet you.

Why Join Us?

  • Work on projects that define the 2026 technology landscape.
  • Competitive compensation package with equity.
  • Flexible remote-first culture with a hub in San Francisco.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Design and implement the core AI/ML architecture for the 2026 product roadmap.
  • Oversee the deployment and scaling of Large Language Models (LLMs) and generative AI agents.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Ensure system reliability, security, and ethical AI compliance.
  • Mentor junior engineers and define technical best practices for the AI team.
  • Conduct research on emerging AI trends to keep our technology stack ahead of the curve.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in software engineering, with at least 3 years specializing in AI/ML.
  • Deep proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Experience with MLOps, data pipelines, and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of generative models, NLP, and computer vision.
  • Proven track record of leading technical projects from conception to deployment.

Required Skills

Python TensorFlow PyTorch MLOps AWS GCP Machine Learning AI Architecture Generative AI NLP Data Engineering

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