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Lead AI Architect: 2026 Agentic Systems

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are on a mission to redefine the boundaries of artificial intelligence. As the demand for autonomous, intelligent agents skyrockets, we are looking for a visionary Lead AI Architect to spearhead the development of our 2026 Agentic Systems. This is not just a job; it is an opportunity to shape the future of how machines think, learn, and interact.

Join a world-class team of researchers and engineers dedicated to pushing the envelope in Large Language Models (LLMs) and autonomous decision-making frameworks. If you are passionate about building the next generation of intelligent systems, we want to hear from you.

Responsibilities

  • Design and architect scalable, multi-agent AI systems capable of handling complex, real-world workflows.
  • Lead the research and implementation of novel training methodologies to enhance model reasoning capabilities for 2026 standards.
  • Collaborate with product managers to translate technical requirements into robust, production-ready AI solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize model latency and throughput to ensure seamless user experiences in high-traffic environments.
  • Stay ahead of the curve by integrating cutting-edge advancements in Reinforcement Learning and Human-in-the-Loop systems.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in AI/ML engineering, with a focus on LLMs, Transformers, and Agentic workflows.
  • Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying high-impact AI products to market.
  • Strong understanding of ethical AI principles and safety guidelines in autonomous systems.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch LLMs Large Language Models Machine Learning Deep Learning NLP AI Architecture Agentic AI Reinforcement Learning

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