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Lead AI Architect - Next-Gen Models (2026 Ready)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the intelligence layer for the next decade. Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead the development of our proprietary 2026-era Generative AI stack. If you are passionate about pushing the boundaries of LLMs, Agentic AI, and autonomous systems, this is your chance to define the future.

Why Join Us?

  • Work on the bleeding edge of AI technology.
  • Competitive compensation and equity packages.
  • Remote-first culture with a focus on collaboration.

Are you ready to engineer the impossible? Apply today.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement scalable, fault-tolerant AI architectures focused on LLMs, RAG pipelines, and autonomous agents.
  • Optimize Model Performance: Drive efficiency improvements in inference speed and latency for production-grade models.
  • Lead Technical Vision: Guide a team of top-tier AI researchers and engineers in defining the technical roadmap for 2026 and beyond.
  • Research & Development: Stay ahead of the curve on emerging AI paradigms, contributing to patentable innovations.
  • Collaborate Cross-Functionally: Partner with product and engineering teams to translate complex AI capabilities into user-centric products.
  • Ensure Ethical AI: Implement robust guardrails and safety mechanisms to ensure responsible AI deployment.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of experience in machine learning engineering, with at least 2 years in a leadership or senior architect role.
  • Technical Stack: Deep expertise in PyTorch, TensorFlow, or JAX. Proven experience with Hugging Face, LangChain, or similar orchestration tools.
  • Model Training: Demonstrated success in fine-tuning large language models (LLMs) on custom datasets.
  • Programming: Expert proficiency in Python and experience with distributed computing frameworks (e.g., Ray, Spark).
  • Problem Solving: Ability to tackle complex, undefined problems with creative and scalable solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP CUDA AWS Docker Kubernetes Leadership System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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