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Senior AI Architect (2026 Roadmap)

Quantum Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are building the infrastructure for the autonomous future. Quantum Horizon Systems is seeking a visionary Senior AI Architect to lead the development of our next-generation Generative AI platforms. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Agentic AI, and Ethical Machine Learning, we want to meet you.

In this pivotal role, you will define the technical strategy for our 2026 roadmap, ensuring our solutions are scalable, secure, and at the forefront of artificial intelligence innovation.

Why Join Us?

  • Work on cutting-edge AI technologies that will define the next decade.
  • Competitive compensation package and equity options.
  • Remote-first culture with access to top-tier tech infrastructure.

Responsibilities

  • Architect & Develop: Design and deploy robust, high-performance AI models and infrastructure pipelines for large-scale applications.
  • Model Optimization: Fine-tune and optimize LLMs (e.g., GPT-4, Llama 3) to reduce latency and improve inference accuracy.
  • Agentic AI: Implement autonomous agent workflows and multi-agent systems to automate complex business logic.
  • RAG Implementation: Develop and integrate Retrieval-Augmented Generation systems to ensure data accuracy and security.
  • Technical Leadership: Mentor junior engineers and guide the engineering team through complex architectural decisions.
  • Research & Innovation: Stay ahead of industry trends to integrate novel AI capabilities into our product suite.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent extensive experience).
  • Experience: 7+ years of experience in Machine Learning, Deep Learning, or Software Engineering.
  • Programming: Expert proficiency in Python, C++, and PyTorch or TensorFlow.
  • AI Knowledge: Deep understanding of Transformer architectures, NLP, and Reinforcement Learning from Human Feedback (RLHF).
  • Tools: Experience with vector databases (Pinecone, Milvus), Kubernetes, and cloud platforms (AWS/GCP).
  • Soft Skills: Exceptional problem-solving abilities and strong communication skills.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Large Language Models LLMs Kubernetes AWS Cloud Computing Data Structures Algorithm Design

Ready to Take This Challenge?

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

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