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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect & GenAI Strategist

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

Job Description

Are you ready to architect the intelligence infrastructure of 2026? Nexus Horizon is seeking a visionary Senior AI Architect to pioneer the next generation of Generative AI and Autonomous Systems. In this pivotal role, you won't just use existing tools; you will define the standards for the future of enterprise intelligence.

We are looking for a thought leader who thrives in ambiguity and possesses an uncanny ability to turn complex algorithms into scalable, real-world solutions. Join a team that is building the cognitive layer of the digital economy.

Responsibilities

  • Architect Next-Gen AI Systems: Design and deploy proprietary Large Language Models (LLMs) and multimodal agents optimized for enterprise scalability and security.
  • Lead RAG & Vector Databases: Spearhead the implementation of Retrieval-Augmented Generation architectures to enhance AI accuracy and data privacy.
  • Define Technical Roadmaps: Collaborate with C-suite executives to align AI capabilities with the company's 2026 vision and long-term product strategy.
  • Optimize Inference Pipelines: Engineer high-performance inference systems that reduce latency and cost while maximizing model output quality.
  • Mentor Engineering Teams: Foster a culture of innovation by mentoring junior engineers and establishing best practices for MLOps and Model Governance.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • Experience: 5+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Reinforcement Learning.
  • Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and modern LLM frameworks (e.g., LangChain, Hugging Face).
  • Infrastructure: Proven experience designing systems on cloud platforms (AWS/GCP/Azure) with a focus on serverless and containerized architectures.
  • Problem Solving: Demonstrated ability to tackle complex, unstructured problems and translate them into robust engineering solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI AWS GCP Docker Kubernetes MLOps Data Science

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