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Senior AI Architect: 2026 Vision

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

Job Description

We are at the forefront of technological evolution, architecting the systems that will define the year 2026 and beyond. As a Senior AI Architect, you won't just build models; you will engineer the future of autonomous intelligence.

At Nexus Future Systems, we are building the next generation of Generative AI agents capable of reasoning, planning, and executing complex tasks in real-world environments. We are looking for a visionary leader to guide our engineering team in designing scalable, secure, and ethical AI infrastructure.

Why join us?

  • Shape the technology roadmap for 2026.
  • Work with state-of-the-art Neuro-symbolic AI frameworks.
  • Competitive compensation and equity packages.

Responsibilities

  • Define the architectural roadmap for AI systems designed for the 2026 landscape, focusing on Agentic AI and Large Language Models (LLMs).
  • Design and implement high-performance ML pipelines and data processing architectures using Python, TensorFlow, and PyTorch.
  • Lead the integration of advanced reasoning techniques to enhance model autonomy.
  • Establish governance frameworks for Responsible AI, ensuring fairness, transparency, and safety in all deployed models.
  • Mentor senior engineers and data scientists, fostering a culture of innovation.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Proven expertise in designing large-scale distributed systems and cloud-native applications (AWS, GCP, or Azure).
  • Deep understanding of transformer architectures, reinforcement learning, and multimodal AI models.
  • Experience with MLOps, model versioning, and deployment strategies (Kubernetes, Docker, MLflow).

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps Machine Learning Deep Learning Distributed Systems Cloud Architecture

Ready to Take This Challenge?

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