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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (Future-Ready Systems)

Apex Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Apex Horizon Labs is seeking a visionary Senior AI Architect to lead the development of next-generation autonomous systems and spatial computing interfaces. We are not just building for today; we are engineering the infrastructure for tomorrow.


In this pivotal role, you will bridge the gap between theoretical AI models and real-world applications, ensuring our solutions are scalable, secure, and ready for the rapid advancements of the coming decade. You will work with a world-class team of engineers, data scientists, and futurists to pioneer solutions in Agentic AI and Neuro-Symbolic computing.


Why join Apex Horizon Labs?

  • Shape the future of autonomous intelligence.
  • Work with cutting-edge hardware and software stacks.
  • Competitive compensation and equity packages.
  • Remote-first culture with access to state-of-the-art facilities.

Responsibilities

  • Architect and implement scalable multi-agent AI systems designed for 2026 enterprise standards.
  • Design and optimize Large Language Model (LLM) pipelines with a focus on reasoning and hallucination reduction.
  • Collaborate with cross-functional teams to integrate AI agents into complex software ecosystems.
  • Establish best practices for MLOps, model governance, and ethical AI deployment.
  • Conduct research into emerging AI paradigms, including RAG (Retrieval-Augmented Generation) and Vector Databases.
  • Mentor junior engineers and data scientists, fostering a culture of continuous innovation.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, or JAX.
  • Proven track record of deploying production-grade LLM applications and agentic workflows.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with semantic search, vector embeddings, and graph databases.
  • Excellent problem-solving skills and the ability to translate business requirements into technical solutions.

Required Skills

Python Machine Learning Deep Learning LLM Large Language Models AI Architecture AWS Docker Kubernetes PyTorch TensorFlow MLOps Agentic AI

Ready to Take This Challenge?

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