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Artificial Intelligence 🏒 Full Time ⭐️ Verified

AI Agentic Systems Architect

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Future Technologies is pioneering the next generation of Agentic AI for the 2026 landscape. We are seeking a visionary AI Agentic Systems Architect to design autonomous agents capable of complex reasoning, strategic planning, and self-improvement.

In this high-impact role, you will bridge the gap between cutting-edge theoretical AI research and scalable, production-grade software engineering. You will lead a team of elite engineers and researchers to build the operating systems of tomorrow, ensuring our AI solutions are not only powerful but also safe, ethical, and aligned with human values.

Join us in defining the paradigm of artificial intelligence for the modern enterprise.

Responsibilities

  • Design and implement scalable architectures for autonomous AI agents and multi-agent systems.
  • Optimize large language models (LLMs) for specific enterprise workflows and complex problem-solving.
  • Establish robust safety protocols, guardrails, and ethical guidelines for autonomous decision-making.
  • Collaborate with product leaders to integrate AI agents seamlessly into core business applications.
  • Conduct research on emerging paradigms in AI reasoning, memory, and tool use.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in software engineering, with a strong focus on AI/ML or systems architecture.
  • Deep expertise in Python, PyTorch, and modern deep learning frameworks.
  • Proven track record of deploying production-grade machine learning models and AI agents.
  • Strong understanding of LLM fine-tuning, prompt engineering, and RAG (Retrieval-Augmented Generation).
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies.

Required Skills

Python PyTorch LLMs AI Agents Machine Learning Cloud Computing System Design NLP

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