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Information Technology 🏢 Full Time ⭐️ Verified

AI-Augmented Systems Architect (2026 Readiness)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are building the digital infrastructure for tomorrow, today. At Nexus Future Systems, we are not just keeping up with technological trends; we are defining them. We are seeking a visionary AI-Augmented Systems Architect to spearhead our 2026 Readiness Initiative.

In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence and scalable enterprise architecture. You will design systems capable of autonomous decision-making, real-time quantum-ready data processing, and seamless human-machine collaboration. If you are passionate about the future of technology and want to leave a legacy in the code that powers the next decade, we want to meet you.

Why Join Us?

  • Work on projects that define the standard for 2026 and beyond.
  • Access to the latest AI research and proprietary hardware.
  • Competitive compensation and equity packages.

Responsibilities

  • Architect and implement scalable AI-driven systems that align with 2026 industry standards.
  • Lead the integration of Large Language Models (LLMs) and autonomous agents into core infrastructure.
  • Ensure system security, resilience, and ethical AI compliance across all deployed solutions.
  • Collaborate with cross-functional teams to translate complex business requirements into technical roadmaps.
  • Conduct code reviews and mentor junior architects on best practices for future-proofing software.
  • Design fault-tolerant systems capable of handling exponential data growth.

Qualifications

  • 10+ years of experience in software architecture and systems engineering.
  • Deep expertise in Python, Java, and modern cloud-native technologies (AWS, GCP, Azure).
  • Proven track record of designing systems with high availability and low latency.
  • Experience with Machine Learning operations (MLOps) and AI pipeline integration.
  • Familiarity with edge computing and IoT architectures.
  • Strong understanding of cybersecurity principles in an AI context.

Required Skills

AI Architecture Machine Learning Cloud Computing Python System Design MLOps Edge Computing Cybersecurity Agile Methodologies

Ready to Take This Challenge?

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