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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Initiative

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Shape the Future of Intelligence


Nexus Future Labs is at the forefront of the technological singularity. We are building the infrastructure for The 2026 Initiative, a revolutionary platform aimed at integrating autonomous AI agents into everyday enterprise workflows. We are looking for a visionary Senior AI Architect to lead our engineering efforts in defining the next generation of generative AI and predictive analytics.


If you are obsessed with the potential of Artificial General Intelligence and want to build systems that will define the future, we want to talk to you.

Responsibilities

  • Architect and deploy scalable deep learning models tailored for the 2026 autonomous systems landscape.
  • Lead the research and implementation of reinforcement learning frameworks for complex decision-making environments.
  • Optimize neural network architectures to achieve high performance on edge computing devices and cloud infrastructure.
  • Mentor a team of world-class ML engineers and data scientists on best practices for ethical AI and synthetic data generation.
  • Collaborate with product leaders to translate the 2026 vision into concrete technical roadmaps.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in designing and deploying production-grade machine learning systems.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
  • Deep understanding of Large Language Models (LLMs), Transformers, and attention mechanisms.
  • Experience with MLOps, model versioning (MLflow), and containerization (Docker/Kubernetes).
  • Strong background in distributed systems and high-performance computing.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture Kubernetes MLOps CUDA

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