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Lead AI Architect | Project 2026 | San Francisco, CA

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the cusp of a technological revolution. Nexus Horizon Technologies is seeking a visionary Lead AI Architect to spearhead Project 2026, our initiative to define the standard for Artificial General Intelligence (AGI) in the enterprise sector.

You will not just write code; you will architect the neural pathways of the future. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and predictive analytics, this is your stage.

Why Join Us?

  • Work on cutting-edge technology that will shape the next decade.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design and implement scalable, fault-tolerant AI infrastructure for next-generation language models.
  • Lead the architectural vision for Project 2026, ensuring alignment with long-term strategic goals.
  • Collaborate with cross-functional teams to integrate AI solutions into core business products.
  • Optimize model performance and reduce inference costs for large-scale deployments.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.
  • Stay abreast of the latest research in Deep Learning and Reinforcement Learning.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or JAX.
  • Proven track record of deploying large-scale LLMs in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
  • Master’s degree in Computer Science, Mathematics, or a related field is preferred.

Required Skills

Artificial Intelligence Machine Learning Python AWS GCP Kubernetes System Design LLMs Deep Learning Architecture

Ready to Take This Challenge?

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