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Senior AI Architect (2026 Visionary)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

About Nexus Future Labs
We are pioneering the technologies that will define the year 2026 and beyond. As a Senior AI Architect, you will be at the forefront of generative AI, large-scale model optimization, and next-generation neural networks. We are looking for a visionary engineer who isn't just building for today, but architecting the future of intelligent systems.

The Role
You will lead the technical strategy for our flagship AI initiatives. Your work will directly impact how millions of users interact with our platform, ensuring scalability, speed, and unprecedented accuracy. You will define the architectural patterns that our engineering teams will follow for the foreseeable future.

Why Join Us?
β€’ Work on cutting-edge Generative AI and LLMs.

β€’ Competitive equity package and 401k matching.

β€’ Flexible remote-first culture with state-of-the-art equipment.

β€’ Collaborative environment with industry leaders in AI research.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for production environments.
  • Design and optimize large language models (LLMs) for specific industry verticals.
  • Lead code reviews and mentor junior engineers on best practices in AI engineering.
  • Define the technical roadmap for 2026 AI initiatives and research new methodologies.
  • Collaborate with product managers to translate complex requirements into technical solutions.
  • Ensure system reliability, security, and performance of AI inference engines.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in Machine Learning Engineering, Data Science, or Applied Research.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of MLOps, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Strong background in Natural Language Processing (NLP) and Deep Learning architectures.
  • Proven track record of shipping high-impact AI products to market.

Required Skills

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

Ready to Take This Challenge?

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