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Senior AI/ML Architect (2026 Vision)

Apex Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027



Job Description

Join Apex Future Systems as a visionary Senior AI/ML Architect. We are defining the technological landscape for the year 2026 and beyond, focusing on scalable, ethical, and next-generation artificial intelligence systems. If you have a passion for building the infrastructure that powers the future, this is your opportunity to lead a high-impact team.


Key Highlights:

  • Work on cutting-edge Generative AI and Large Language Model infrastructure.
  • Competitive salary and equity package.
  • Flexible remote-first work environment.

We are looking for a leader who can bridge the gap between theoretical research and production engineering.

Responsibilities

  • Architect and design end-to-end machine learning pipelines that are scalable, secure, and high-performance.
  • Lead architecture reviews and provide technical mentorship to junior engineers and data scientists.
  • Collaborate with cross-functional teams to define product requirements and translate them into technical solutions.
  • Implement MLOps best practices to streamline model deployment, monitoring, and retraining.
  • Optimize existing models for reduced latency and improved inference accuracy.
  • Stay at the forefront of AI research and evaluate emerging technologies for potential integration.
  • Ensure compliance with data privacy regulations and ethical AI standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 7+ years of professional software engineering experience, with at least 3 years in AI/ML.
  • Strong proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade machine learning models handling millions of requests.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning MLOps Docker Kubernetes System Design

Ready to Take This Challenge?

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