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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: Architecting the Future (2026)

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

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the charge in building autonomous, agentic AI systems. We are not just building software; we are engineering the operational intelligence that will power the next decade.

In this role, you will bridge the gap between theoretical artificial general intelligence (AGI) concepts and scalable, production-grade software. You will design the neural infrastructures that enable machines to reason, plan, and execute complex tasks with human-like autonomy.

Why Join Us?

  • Impact First: Your code will directly influence the trajectory of AI development.
  • Future-Proofing: Work on cutting-edge technologies that are shaping the 2026 landscape.
  • Top-Tier Compensation: Competitive salary and equity package.

Responsibilities

  • Architect Multi-Agent Systems: Design and implement complex workflows where autonomous agents collaborate to solve high-level business problems.
  • Optimize LLM Inference: Engineer high-performance pipelines for Large Language Models to reduce latency and maximize throughput.
  • Build the 'Brain': Develop the reasoning engines and memory architectures required for context-aware AI agents.
  • Infrastructure Scalability: Ensure systems can handle petabyte-scale data processing with zero downtime.
  • R&D Leadership: Experiment with emerging paradigms in reinforcement learning and synthetic data generation.

Qualifications

  • Experience: 7+ years of software engineering experience, with 3+ years specifically in AI/ML infrastructure.
  • Programming: Proficiency in Python and Rust; experience with C++ for performance-critical components.
  • Frameworks: Deep understanding of PyTorch, TensorFlow, and modern LLM frameworks (LangChain, LlamaIndex).
  • Cloud Mastery: Expertise in Kubernetes, Docker, and AWS/GCP architecture.
  • Problem Solving: Demonstrated ability to tackle ambiguity and architect solutions for undefined future problems.

Required Skills

Python Rust AI Machine Learning LLM Kubernetes Docker AWS PyTorch System Design

Ready to Take This Challenge?

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