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Senior AI Architect (Agentic AI Specialist) - San Francisco

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

Job Description

Are you ready to define the AI landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our next-generation Agentic AI initiatives. We are building the infrastructure for the autonomous intelligent systems of tomorrow, and you will be at the forefront of this revolution.

In this role, you will architect scalable Large Language Model (LLM) systems, implement Retrieval-Augmented Generation (RAG) frameworks, and design autonomous agent workflows. We are looking for a technical leader who is passionate about pushing the boundaries of what is possible in Generative AI.

Why join us?
We offer a competitive compensation package, equity options, and a remote-first culture that values innovation and autonomy. You will work with cutting-edge hardware and collaborate with world-class researchers to solve complex problems.

Responsibilities

  • Design and implement robust, scalable architectures for Agentic AI systems and LLM applications.
  • Optimize model inference and training pipelines for latency and throughput efficiency.
  • Lead the integration of Multimodal AI capabilities into existing products.
  • Conduct research on emerging AI paradigms to stay ahead of the 2026 technology curve.
  • Collaborate with cross-functional teams of engineers, product managers, and data scientists.
  • Mentor junior engineers and establish best practices for AI code quality and deployment.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
  • 8+ years of experience in software engineering, with at least 4 years specializing in AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven experience building and deploying LLMs, RAG systems, and vector databases.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow LLM RAG Generative AI NLP Distributed Systems AWS Docker Kubernetes Machine Learning Deep Learning Agentic AI

Ready to Take This Challenge?

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