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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Integration Architect - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Integration Architect to help define the technology landscape for the year 2026. At Nexus Future Labs, we are not just building software; we are architecting the future of human-machine interaction. You will be at the forefront of integrating next-generation Large Language Models (LLMs) and generative AI into scalable, real-world enterprise solutions.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering. If you are passionate about shaping the trajectory of technology and thrive in a fast-paced, high-impact environment, we want to meet you.

Responsibilities

  • Architect and deploy scalable machine learning pipelines designed for the demands of 2026 and beyond.
  • Lead the integration of state-of-the-art LLMs (e.g., GPT-4, Claude) into our core product ecosystem.
  • Optimize model inference speed and reduce latency for real-time, high-volume applications.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to define AI-driven feature roadmaps and strategy.
  • Ensure data privacy, security, and ethical AI compliance across all integration projects.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • 5+ years of experience in software engineering with a focus on machine learning and AI.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with NLP, prompt engineering, and fine-tuning pre-trained models.
  • Proven track record of leading technical projects from concept to production.

Required Skills

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

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