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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Agentic Systems Architect

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are redefining the future of technology, looking toward the transformative year of 2026 and beyond. As a Senior AI Agentic Systems Architect, you will be at the forefront of building the autonomous intelligence that will power the next generation of enterprise solutions.

Our niche focuses on the '2026' evolution of AI: moving from simple chatbots to complex, autonomous agents capable of reasoning, planning, and executing multi-step tasks. If you are a visionary engineer ready to shape the infrastructure of tomorrow, we want to hear from you.

Responsibilities

  • Design and architect scalable Agentic AI workflows that enable autonomous decision-making and execution.
  • Lead the technical strategy for multi-agent systems, ensuring high availability, security, and performance.
  • Implement and optimize Large Language Models (LLMs) for specific domain applications, fine-tuning for precision.
  • Collaborate with product leaders to translate business requirements into cutting-edge AI architectures.
  • Oversee the integration of AI agents into existing cloud infrastructures (AWS/GCP/Azure).
  • Mentor junior engineers and define coding standards for AI systems.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in designing Agentic workflows, autonomous agents, and LLM orchestration.
  • Proficiency in Python, TensorFlow, PyTorch, and modern agent frameworks (LangChain, AutoGen).
  • Strong understanding of vector databases, RAG (Retrieval-Augmented Generation), and semantic search.
  • Experience with cloud-native architecture, microservices, and system scalability.
  • Excellent problem-solving skills and ability to work in a fast-paced, innovative environment.

Required Skills

Python TensorFlow PyTorch LLM Large Language Models System Design AWS GCP AutoGen LangChain RAG Machine Learning Artificial Intelligence

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