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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Vision)

Nexus Core Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join the 2026 Revolution in Artificial Intelligence. Nexus Core Systems is seeking a visionary AI Architect to lead the development of next-generation intelligent systems. We are building the infrastructure for a future where AI seamlessly integrates into every layer of the digital ecosystem.

In this role, you will not just follow trends; you will define the roadmap for 2026. You will work with cutting-edge Large Language Models (LLMs), Generative Adversarial Networks (GANs), and autonomous agents. If you thrive on solving complex problems and pushing the boundaries of what's possible in machine learning, we want to meet you.

Why Nexus Core? We offer top-tier compensation, equity packages, and a culture that prioritizes innovation, autonomy, and impact.

Responsibilities

  • Design and implement scalable AI architectures for 2026-era applications, focusing on efficiency and scalability.
  • Lead the research and deployment of advanced Natural Language Processing (NLP) models.
  • Optimize model inference pipelines to reduce latency and computational costs in production environments.
  • Establish robust data governance and ethical AI frameworks to ensure fairness and transparency.
  • Collaborate with product managers and engineers to translate technical AI capabilities into market-leading features.
  • Mentor junior data scientists and foster a culture of continuous learning and technical excellence.
  • Stay ahead of emerging trends in AI research, including Multimodal Learning and Edge AI.

Qualifications

  • 7+ years of experience in Machine Learning, Deep Learning, or Data Science.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow).
  • Proven track record of leading cross-functional teams in high-impact projects.
  • Experience with vector databases and semantic search technologies.
  • Master’s or PhD in Computer Science, AI, or a related technical field.

Required Skills

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

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