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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect - 2026 Vision

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

At Nexus Future Technologies, we are not just preparing for the future; we are architecting it. As we look toward the pivotal year of 2026, we are seeking a visionary Senior AI Systems Architect to lead the next generation of neural infrastructure and intelligent solutions. This is an opportunity to define the standards of AI in the mid-2020s, working at the intersection of Generative AI, Quantum Computing interfaces, and Ethical AI protocols.

In this high-impact role, you will design scalable, fault-tolerant systems capable of handling exascale data processing. You will bridge the gap between theoretical machine learning breakthroughs and practical, real-world applications that drive business growth. Join us in building the intelligent backbone of tomorrow.

Responsibilities

  • Architect and deploy high-performance AI systems designed for the 2026 digital landscape, leveraging next-gen hardware.
  • Oversee the full lifecycle of machine learning models, from data ingestion and preprocessing to production inference and monitoring.
  • Integrate emerging technologies such as Neuro-Symbolic AI, Federated Learning, and Edge Computing architectures.
  • Establish rigorous best practices for AI governance, bias mitigation, and data security compliance.
  • Mentor senior engineering talent and drive technical innovation within the AI research and development team.
  • Collaborate with product leaders to translate complex AI capabilities into user-centric features.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 7+ years of experience in software engineering with a specialized focus on AI/ML and distributed systems.
  • Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Apache Spark).
  • Extensive experience with cloud platforms (AWS/Azure/GCP) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of Large Language Models (LLMs), fine-tuning methodologies, and RAG architectures.
  • Proven track record of leading cross-functional teams in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Computing Kubernetes AWS LLMs Neural Networks Data Architecture

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