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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap

Meridian Horizon Tech
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological infrastructure for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our platforms remain at the forefront of the generative AI revolution. If you are passionate about building the future and possess a deep understanding of large-scale neural networks, we want to hear from you.


Why Join Us?
β€’ Work on cutting-edge projects that shape the next decade of technology.
β€’ Competitive compensation package and equity options.
β€’ Flexible remote-first culture with premium office amenities in the Bay Area.

Responsibilities

  • Architect and oversee the deployment of next-generation Large Language Model (LLM) infrastructures optimized for the 2026 computing landscape.
  • Define and execute the technical roadmap for AI scalability, focusing on quantum-ready protocols and edge computing integration.
  • Lead a team of senior engineers in designing robust, fault-tolerant pipelines for real-time data processing and model training.
  • Collaborate with product leaders to translate complex business requirements into elegant, high-performance technical solutions.
  • Ensure AI ethics, safety, and compliance standards are embedded in every layer of the system architecture.
  • Conduct in-depth research on emerging paradigms such as Neuromorphic Computing and Federated Learning.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a lead architecture role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of deploying production-grade AI models serving millions of users.
  • Strong understanding of cloud native architectures (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch System Architecture Cloud Computing Kubernetes AWS GCP Neural Networks Deep Learning LLM Generative AI Quantum Computing Ethics in AI

Ready to Take This Challenge?

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