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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Roadmap)

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

Job Description

We are a pioneering technology firm at the forefront of the 2026 AI revolution. We are seeking a visionary Senior AI/ML Architect to lead the development of next-generation generative models and autonomous systems. In this role, you will define the technical roadmap for our flagship products, ensuring scalability, ethical AI compliance, and cutting-edge performance.

Join a team of world-class engineers and researchers dedicated to solving humanity's most complex challenges through intelligent automation.

Responsibilities

  • Lead the 2026 AI Roadmap: Architect and oversee the development of scalable machine learning infrastructure tailored for the demands of 2026 and beyond.
  • Model Optimization: Design and deploy high-performance Large Language Models (LLMs) and computer vision systems with zero-latency inference.
  • System Architecture: Build robust MLOps pipelines to manage model training, deployment, and monitoring across cloud environments.
  • Ethical AI Implementation: Establish frameworks for responsible AI, ensuring bias mitigation and data privacy compliance.
  • Technical Leadership: Mentor junior data scientists and engineers, conducting code reviews and architectural reviews to maintain high engineering standards.
  • Research Integration: Translate cutting-edge academic research into production-ready software solutions.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Core Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a senior architectural role.
  • Cloud Expertise: Deep understanding of AWS, GCP, or Azure with experience in containerization (Docker/Kubernetes).
  • Problem Solving: Proven track record of solving complex optimization problems in distributed systems.
  • Communication: Excellent ability to communicate technical concepts to non-technical stakeholders and cross-functional teams.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps Cloud Computing AWS GCP Docker Kubernetes AI Ethics Generative AI NLP

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