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Lead AI Architect - Project 2026

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the Future of Intelligence with Project 2026

Apex Horizon Systems is at the forefront of the next industrial revolution. We are looking for a visionary Lead AI Architect to spearhead Project 2026, our ambitious initiative to develop autonomous, self-healing neural networks for smart infrastructure.

In this pivotal role, you will design the backbone of our next-gen AI ecosystem. You won't just be maintaining legacy systems; you will be architecting the frameworks that will define the technological landscape of the late 2020s. If you thrive in ambiguity and are driven by the challenge of solving complex, large-scale problems, we want to meet you.

Why join us?
Competitive compensation, equity options, and a remote-first culture that values innovation over hours.

Responsibilities

  • Architect and implement scalable, distributed AI infrastructure capable of processing petabytes of real-time data.
  • Define technical roadmaps for Project 2026, ensuring alignment with business goals and long-term research objectives.
  • Lead a team of senior engineers and data scientists in developing cutting-edge machine learning models.
  • Ensure system reliability, security, and performance across global deployment environments.
  • Collaborate with product leaders to translate abstract research concepts into deployable software solutions.
  • Establish best practices for MLOps, model versioning, and automated testing.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in a leadership or architect role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, gRPC).
  • Proven track record of deploying large-scale AI models in production environments.
  • Experience with edge computing and IoT integration is a significant plus.
  • Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Kubernetes Distributed Systems MLOps Machine Learning System Architecture AI Strategy

Ready to Take This Challenge?

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