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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Project 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of the technological singularity, building the infrastructure for Project 2026. We are seeking a visionary Lead AI Architect to design and implement next-generation artificial intelligence systems that will shape the future of enterprise automation.

In this pivotal role, you will lead a high-performing team of data scientists and engineers to develop scalable, ethical, and robust AI models. You will define the architectural standards for our core products and ensure our systems are ready for the demands of the year 2026 and beyond.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote and hybrid work options.
  • Opportunity to define the roadmap for the next decade of technology.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for high-volume data processing.
  • Lead the design and implementation of our core AI models, focusing on Generative AI and NLP.
  • Collaborate with product managers and engineering leads to translate business requirements into technical solutions.
  • Mentor and grow a team of talented data engineers and data scientists.
  • Ensure the security, privacy, and ethical use of AI data within the Project 2026 ecosystem.
  • Stay abreast of the latest advancements in AI research and integrate relevant innovations into our stack.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Proven experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and model deployment strategies.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP MLOps Machine Learning Distributed Systems Generative AI NLP Cloud Architecture

Ready to Take This Challenge?

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