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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Systems Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

About Us: Nexus Horizon Labs is at the forefront of next-generation artificial intelligence. We are a stealth-mode startup preparing to launch revolutionary autonomous agents and multimodal systems. We are looking for a visionary Senior AI Systems Architect to design the infrastructure that will power our solutions through 2026 and beyond.

The Role:

You will bridge the gap between theoretical AI research and scalable production engineering. In this role, you will lead the architectural vision for our core LLM orchestration engine, ensuring our systems are secure, efficient, and capable of handling complex, real-world autonomous decision-making.

Why Join Us?

  • Work on cutting-edge agentic AI systems.
  • Competitive equity package and remote-first flexibility.
  • Shape the roadmap for the AI landscape of 2026.

Responsibilities

  • Architect and implement scalable, high-performance AI infrastructure for autonomous agents.
  • Design robust data pipelines for training and fine-tuning next-generation Large Language Models (LLMs).
  • Collaborate with research teams to translate novel algorithms into production-ready software.
  • Establish best practices for AI model deployment, monitoring, and reliability (MLOps).
  • Ensure system security, privacy, and compliance with evolving AI regulations.
  • Mentor a team of junior engineers and data scientists.
  • Define technical roadmaps and evaluate emerging technologies for integration.

Qualifications

  • 10+ years of software engineering experience, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven experience designing distributed systems using microservices and cloud-native architectures (AWS, GCP, or Azure).
  • Strong understanding of LLMs, Transformers, and vector databases.
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow).
  • Excellent problem-solving skills and ability to thrive in ambiguous, fast-paced environments.
  • Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).

Required Skills

Python PyTorch TensorFlow AWS Kubernetes MLOps LLMs Generative AI Distributed Systems Microservices Docker SQL

Ready to Take This Challenge?

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