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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect - 2026 Readiness

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Nexus Horizon Solutions is redefining the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Architect to spearhead the development of next-generation artificial intelligence systems.

In this role, you will not just write code; you will architect the future of intelligent automation. You will work in a cutting-edge environment where theoretical research meets production-grade deployment. If you are passionate about pushing the boundaries of what is possible with deep learning and scalable systems, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning pipelines for autonomous systems and predictive analytics.
  • Lead the technical strategy for integrating Generative AI models into core enterprise products.
  • Oversee the full software development lifecycle, from data ingestion to model deployment.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Evaluate emerging technologies to ensure the 2026 roadmap remains competitive and future-proof.
  • Ensure high standards of data security, privacy, and ethical AI compliance.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Kubernetes.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
  • Proven track record of leading cross-functional teams in high-stakes environments.
  • Experience with Large Language Models (LLMs) and NLP technologies.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Kubernetes AWS MLOps NLP Generative AI Leadership

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