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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI-Driven Systems Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on the precipice of a technological singularity, and Nexus Future Labs is building the bridge. We are seeking a visionary Senior AI-Driven Systems Architect to spearhead the development of our next-generation, self-evolving infrastructure. In this role, you will design the frameworks that will power autonomous decision-making systems in 2026 and beyond. If you are a thought leader passionate about the intersection of quantum computing and deep learning, we want to hear from you.

Responsibilities

  • Architect and deploy scalable, fault-tolerant AI infrastructures capable of handling petabyte-scale neural network training.
  • Lead the integration of quantum-ready algorithms into classical software stacks to optimize computational efficiency.
  • Define and implement the technical roadmap for our proprietary "Sentient Core" platform, ensuring alignment with future market demands.
  • Collaborate with cross-functional teams of data scientists, security experts, and product managers to drive innovation.
  • Establish best practices for ethical AI development, ensuring transparency and fairness in autonomous decision processes.
  • Mentor and guide junior architects and engineers, fostering a culture of continuous learning and technical excellence.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML infrastructure and large-scale distributed systems.
  • Deep expertise in Python, C++, and Rust, with proven experience in high-performance computing environments.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Proven track record of leading technical teams through complex, multi-year product lifecycles.
  • Strong understanding of cloud-native technologies (Kubernetes, Docker, AWS/Azure/GCP) and edge computing architectures.
  • Familiarity with generative AI models, transformer architectures, and large language model (LLM) optimization.

Required Skills

Python C++ Kubernetes AWS AI/ML Distributed Systems Cloud Architecture Machine Learning Rust

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