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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect - 2026 Vision

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

At Nexus Future Labs, we are not just predicting the future; we are architecting it. We are seeking a visionary Senior AI Systems Architect (2026 Vision) to lead our cutting-edge research division. In this pivotal role, you will be responsible for designing the foundational architectures that will power autonomous agents, next-gen generative models, and immersive digital realities.

You will work at the intersection of machine learning, distributed systems, and human-computer interaction. If you are passionate about solving complex problems and have a "build the future" mindset, we want to hear from you.

Responsibilities

  • Architect Next-Gen Systems: Design and deploy scalable, high-performance AI infrastructure capable of handling exascale data processing for 2026 standards.
  • Lead R&D Initiatives: Spearhead research into autonomous agent workflows, self-healing codebases, and predictive AI models.
  • Cross-Functional Collaboration: Partner with product managers, designers, and engineers to translate futuristic concepts into viable, production-ready technical solutions.
  • Optimize Performance: Continuously refine algorithms and system architecture to improve latency, throughput, and energy efficiency.
  • Talent Mentorship: Mentor a team of junior architects and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s degree in Computer Science, AI, Robotics, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture and system design.
  • Technical Skills: Proficiency in Python, Rust, or Go; deep understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • AI Expertise: Strong background in Large Language Models (LLMs), reinforcement learning, or neural architecture search.
  • Problem Solving: Exceptional ability to decompose complex problems and design elegant, scalable solutions.

Required Skills

Python Machine Learning System Design Rust Kubernetes AI/LLM Distributed Systems Cloud Architecture

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