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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Architecting the 2026 Intelligence Leap

Nexus Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

At Nexus Horizon Tech, we don't just predict the future; we engineer it. We are currently seeking a visionary Senior AI Architect to lead our 2026 Intelligence Leap initiative. In this pivotal role, you will design and implement next-generation artificial intelligence systems that will redefine industry standards.


As we prepare for the technological horizon of 2026, you will work at the forefront of Generative AI, Large Language Models, and autonomous agents. This is an opportunity to build scalable, ethical, and high-performance systems from the ground up.


Why join us?

  • Shape the roadmap for AI evolution leading into 2026.
  • Work with cutting-edge tech stacks in a fully remote-first culture.
  • Competitive compensation and equity packages.

If you are a technical leader passionate about the future of machine learning, we want to hear from you.

Responsibilities

  • Lead the architectural design and implementation of scalable AI models and infrastructure for the 2026 product roadmap.
  • Define technical strategies for Generative AI and Large Language Model (LLM) integration across enterprise solutions.
  • Optimize model performance, latency, and inference costs for real-time applications.
  • Collaborate with cross-functional teams including product managers, data scientists, and security experts.
  • Establish best practices for MLOps, CI/CD, and ethical AI governance.
  • Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related field (PhD preferred).
  • 7+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of designing and deploying production-grade LLM applications.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with vector databases (e.g., Pinecone, Milvus) and RAG architectures.

Required Skills

Python PyTorch TensorFlow LLM Generative AI MLOps AWS GCP Docker Kubernetes Machine Learning Architecture NLP

Ready to Take This Challenge?

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