Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Integration Architect

Nexus Horizon AI
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are seeking a visionary Senior AI Integration Architect to lead the technical evolution of our platform. As we prepare for the transformative capabilities of 2026, we are building a next-generation ecosystem centered on autonomous agents and advanced generative AI. You will be responsible for designing the neural infrastructure that powers our predictive analytics and real-time decision engines.

In this role, you will bridge the gap between cutting-edge machine learning research and scalable production systems. You will work with a world-class team to deploy Large Language Models (LLMs) and computer vision systems that redefine user interaction. If you are passionate about the future of technology and want to shape the AI landscape of the next decade, this is your opportunity to lead.

Key Objectives:

  • Architect high-performance machine learning pipelines.
  • Integrate autonomous AI agents into core business workflows.
  • Ensure system scalability, security, and compliance for global deployment.
  • Drive innovation in synthetic data generation and model optimization.

Responsibilities

  • Design and implement robust machine learning architectures for the 2026 roadmap.
  • Oversee the deployment and fine-tuning of large-scale language models.
  • Collaborate with data scientists to translate research into production-ready code.
  • Optimize inference speeds and reduce latency for edge computing environments.
  • Establish best practices for model monitoring, testing, and version control.
  • Lead architectural reviews and mentor engineering teams on AI integration strategies.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
  • Experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM fine-tuning.
  • Strong problem-solving skills with a focus on scalability and performance.

Required Skills

Python PyTorch TensorFlow Machine Learning System Architecture Cloud Computing NLP LLM AI Agent Kubernetes Docker

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All