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AI Lead Architect - 2026 Roadmap

Apex Horizon Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are Apex Horizon Labs, a pioneering research and development firm dedicated to defining the technological landscape of 2026. We are looking for a visionary AI Lead Architect to lead our strategic infrastructure roadmap. In this role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our platforms are resilient, efficient, and ahead of the curve.

Why join us?

  • Work on cutting-edge Generative AI and Autonomous Systems.
  • Competitive equity and performance bonuses.
  • Flexible remote-first culture with quarterly in-person summits in SF.

Responsibilities

  • Architect the Future: Design and implement the core infrastructure for our 2026 product suite, focusing on high-performance neural networks and distributed computing.
  • Technical Strategy: Define the technology stack and architectural patterns that will support our growth over the next two years.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Oversee the optimization of models for latency, throughput, and resource efficiency.
  • R&D Integration: Translate theoretical research papers into deployable, production-grade code.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture leadership.
  • Tools: Proficiency in Python, PyTorch, TensorFlow, and cloud-native architecture (AWS/GCP).
  • Leadership: Proven track record of leading cross-functional teams and managing large-scale projects.
  • Problem Solving: Deep understanding of distributed systems, big data, and algorithm optimization.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning Distributed Systems System Design Leadership

Ready to Take This Challenge?

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