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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Systems Architect (2026 Roadmap)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are seeking a visionary Senior AI Systems Architect to lead the architectural vision for our 2026 technology roadmap. At Nexus Horizon, we are building the infrastructure of tomorrow, today. You will be responsible for designing scalable, secure, and high-performance AI systems that power our next generation of products.

In this pivotal role, you will bridge the gap between theoretical AI capabilities and robust engineering solutions. If you are passionate about the future of technology and want to shape the standards for 2026 and beyond, we want to hear from you.

Responsibilities

  • Define and execute the technical roadmap for AI infrastructure aligned with 2026 strategic goals.
  • Design and implement distributed systems capable of handling high-throughput machine learning workloads.
  • Lead the integration of Generative AI models into production environments with a focus on latency and cost optimization.
  • Ensure system security and compliance with evolving data privacy regulations.
  • Collaborate with cross-functional teams to translate business requirements into technical architectures.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML infrastructure.
  • Deep expertise in Python, Go, and cloud-native technologies (Kubernetes, Docker).
  • Experience designing scalable architectures for Large Language Models (LLMs) and edge computing.
  • Strong understanding of MLOps, CI/CD pipelines, and data governance.
  • Excellent problem-solving skills with a proven track record of leading complex technical projects.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Go Kubernetes AWS MLOps AI Architecture System Design Machine Learning Cloud Computing

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