Home Job Details
N
Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI & Agentic Systems Architect (2026)

Nebula AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are on the cutting edge of defining the technology landscape for the year 2026. Nebula AI Systems is seeking a visionary Senior AI & Agentic Systems Architect to lead the development of next-generation autonomous agents. You will be responsible for designing scalable architectures that bridge the gap between current Large Language Models (LLMs) and complex, multi-agent orchestration systems.

In this role, you will work in a high-performance environment, collaborating with top-tier researchers and engineers to build the intelligence layer of tomorrow. If you are passionate about the future of AI and want to leave a mark on the industry standard for 2026, we want to hear from you.

Responsibilities

  • Architect and implement scalable, multi-agent AI systems capable of autonomous decision-making and complex task execution.
  • Optimize model inference pipelines to ensure high-throughput, low-latency performance in production environments.
  • Design robust prompt engineering strategies and fine-tuning workflows for proprietary large language models.
  • Collaborate with product teams to translate advanced AI capabilities into user-friendly, high-impact applications.
  • Conduct rigorous testing and validation of AI models to ensure safety, reliability, and alignment with business objectives.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of professional experience in machine learning, deep learning, or software engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying LLMs and Generative AI applications at scale.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to navigate ambiguity in rapidly evolving tech stacks.

Required Skills

Python PyTorch TensorFlow LLM Generative AI Machine Learning Deep Learning Docker Kubernetes AWS System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All