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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Visionary

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead the development of next-generation generative intelligence systems.

We are not just building software for today; we are architecting the infrastructure that will power the enterprise of tomorrow. In this pivotal role, you will spearhead the deployment of autonomous agents, advanced Large Language Models (LLMs), and scalable vector databases designed for a future-ready workforce.

Join a team of elite engineers pushing the boundaries of what is possible in the AI revolution. You will have the autonomy to shape technical strategy and the resources to execute at scale.

Responsibilities

  • Architect and implement high-performance generative AI pipelines designed for 2026 scalability and efficiency.
  • Optimize model inference latency and reduce operational costs using advanced quantization and pruning techniques.
  • Lead technical strategy for MLOps, ensuring seamless CI/CD pipelines for production-grade AI workloads.
  • Collaborate with product and research teams to define the roadmap for autonomous AI agents and multimodal systems.
  • Conduct rigorous research into emerging paradigms such as Reinforcement Learning from Human Feedback (RLHF) and Chain-of-Thought reasoning.
  • Establish best practices for data governance, model security, and ethical AI deployment.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • 7+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Generative AI.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying large-scale machine learning models on Kubernetes and cloud platforms (AWS/GCP).
  • Strong understanding of prompt engineering, vector databases (e.g., Pinecone, Milvus), and RAG architectures.
  • Demonstrated leadership experience in mentoring junior engineers and guiding technical architecture decisions.

Required Skills

Python PyTorch Machine Learning Deep Learning NLP Generative AI LLMs Kubernetes AWS MLOps TensorFlow Data Science System Design

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