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Senior AI Architect - 2026 Horizon

Nexus Future Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

We are building the future of intelligence, and we are looking for a visionary Senior AI Architect to join our elite team at Nexus Future Labs. In the 2026 horizon, we are pioneering the next generation of generative AI systems and autonomous agents. If you are obsessed with pushing the boundaries of what's possible with Large Language Models (LLMs) and predictive analytics, this is your chance to lead a world-class engineering squad.

As part of our 2026 vision, you will not just be maintaining systems; you will be architecting the foundation of our AI ecosystem. We offer a competitive compensation package, remote-first flexibility, and the opportunity to work on projects that will define the industry for years to come.

Responsibilities

  • Architect and deploy scalable deep learning models and generative AI frameworks for enterprise applications.
  • Lead the research and implementation of novel AI algorithms to solve complex, high-impact business problems.
  • Optimize model inference speed and reduce latency to ensure real-time performance across distributed systems.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Collaborate closely with product managers and data scientists to define the technical roadmap for our AI product suite.
  • Ensure data privacy, security, and ethical AI compliance in all deployed models.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep experience with MLOps, Kubernetes, and cloud infrastructure (AWS, GCP, or Azure).
  • Strong background in Natural Language Processing (NLP) and Large Language Model (LLM) fine-tuning.
  • Experience with distributed computing systems and high-performance computing (HPC).

Required Skills

Python PyTorch TensorFlow MLOps Kubernetes AWS GCP NLP LLM Machine Learning Deep Learning

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