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Information Technology 🏒 Full Time ⭐️ Verified

Senior Agentic AI Architect

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



Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Horizon Systems is seeking a visionary Senior Agentic AI Architect to spearhead the development of autonomous, self-improving AI agents. You will be at the forefront of integrating Large Language Models (LLMs) with complex reasoning engines, building systems that don't just react but proactively solve enterprise-level challenges.

In this high-impact role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our platforms remain at the bleeding edge of innovation.

Responsibilities

  • Architect and deploy scalable Agentic AI systems capable of autonomous decision-making and multi-step reasoning.
  • Design robust prompt engineering strategies and fine-tuning pipelines for proprietary LLMs.
  • Collaborate with cross-functional R&D teams to integrate AI agents into existing software ecosystems.
  • Optimize inference latency and cost-efficiency for high-volume AI workloads.
  • Establish best practices for AI safety, ethics, and interpretability in autonomous systems.
  • Conduct rigorous testing of agent behaviors to ensure reliability and fault tolerance.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning Engineering or AI Research.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of LLMs (GPT, Claude, Llama) and frameworks such as LangChain or AutoGPT.
  • Strong background in distributed systems, cloud architecture (AWS/GCP), and microservices.
  • Demonstrated experience in deploying models to production environments at scale.

Required Skills

Python PyTorch TensorFlow LLMs Large Language Models LangChain AutoGPT AWS System Design Machine Learning Deep Learning San Francisco CA

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