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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join the Frontier of Intelligence

Nexus Future Systems is pioneering the next generation of artificial intelligence, positioning itself as a leader in the 2026 tech landscape. We are seeking a visionary Principal AI Architect to lead our strategic technical roadmap and architect scalable, high-performance machine learning systems that will define the future of human-computer interaction.

In this role, you won't just maintain existing systems; you will build the infrastructure for tomorrow. You will collaborate with world-class researchers and engineers to deploy cutting-edge Large Language Models (LLMs) and autonomous agents at scale.

Why Join Us?

  • Future-Ready Tech Stack: Work with the latest in Quantum-Ready AI frameworks.
  • Global Impact: Your work will power next-gen applications used by millions.
  • Equity Package: Competitive compensation and substantial equity stake in our Series B growth phase.

Responsibilities

  • Architect and design end-to-end machine learning pipelines, ensuring scalability and fault tolerance for 2026 workloads.
  • Lead the technical strategy for our proprietary LLM ecosystem, driving innovation in generative AI capabilities.
  • Define architectural patterns and coding standards to guide a team of senior engineers and researchers.
  • Conduct deep-dive technical reviews and mentorship for high-performing engineering teams.
  • Partner with product leadership to translate business objectives into robust technical roadmaps.
  • Oversee the integration of edge computing and cloud infrastructure to optimize latency and throughput.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems design.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of deploying large-scale AI models (LLMs) in production environments.
  • Strong understanding of MLOps, Kubernetes, and cloud-native architecture (AWS/Azure/GCP).
  • Demonstrated leadership experience in managing cross-functional technical teams.

Required Skills

Python Machine Learning Deep Learning System Design Cloud Architecture MLOps LLMs Kubernetes PyTorch TensorFlow

Ready to Take This Challenge?

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