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Senior AI Architect - 2026 Vision

Nexus Future Labs
Seattle
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our next-generation research and development initiatives. We are building the foundational systems for the autonomous intelligent era, and we need a mastermind to bridge the gap between theoretical breakthroughs and scalable production deployments.

In this role, you won't just use existing tools; you will help architect the tools of tomorrow. You will be at the forefront of developing Agentic AI workflows, optimizing Neural Interface protocols, and ensuring our systems remain secure in a decentralized future.

Why join us?

  • Work on projects that will define the tech stack of the next decade.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design and deploy scalable machine learning infrastructure capable of processing petabytes of real-time data streams.
  • Lead research into emerging paradigms such as Multimodal LLMs and Autonomous Agent orchestration.
  • Optimize model inference for edge computing devices to ensure latency-free user experiences.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex concepts into robust software.
  • Mentor junior developers and establish best practices for MLOps and model governance.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in machine learning engineering or applied AI research.
  • Deep expertise in Python, PyTorch, and modern deep learning frameworks.
  • Proven track record of deploying large-scale models in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and Kubernetes.

Required Skills

Python PyTorch TensorFlow MLOps AWS Kubernetes NLP Machine Learning Deep Learning Distributed Systems

Ready to Take This Challenge?

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