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Senior AI Architect (2026 Visionary) - San Francisco

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the forefront of defining the technological landscape of 2026. Apex Horizon Technologies is seeking a visionary Senior AI Architect to lead the development of next-generation autonomous agents and generative intelligence systems. If you are passionate about shaping the future of AI and want to be part of a team that builds the infrastructure for tomorrow, we want to meet you.

As a key member of our R&D division, you will be responsible for architecting scalable, ethical, and high-performance AI solutions that will power our products for years to come. This is not just a job; it is an opportunity to leave a lasting impact on the industry.

Why Join Us?

  • Future-Ready Role: Work on cutting-edge technologies designed for the 2026 era.
  • Competitive Compensation: $180k - $250k base salary plus equity.
  • Flexible Environment: Hybrid work model in the heart of San Francisco.
  • Continuous Learning: Access to the latest GPUs, cloud infrastructure, and research papers.

Responsibilities

  • Architect and design scalable machine learning pipelines and distributed systems for large-scale data processing.
  • Lead the research and implementation of Large Language Model (LLM) fine-tuning and RAG (Retrieval-Augmented Generation) strategies.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI product roadmaps.
  • Ensure ethical AI practices, data privacy compliance, and bias mitigation in all deployed models.
  • Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
  • Optimize model inference speed and reduce latency for real-time applications.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • Minimum of 5+ years of experience in Machine Learning, AI, or Deep Learning engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with vector databases (Pinecone, Weaviate) and cloud platforms (AWS, GCP, Azure).
  • Proven track record of deploying production-ready AI models.
  • Excellent communication skills with the ability to translate complex technical concepts to stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Large Language Models AWS GCP System Design Distributed Systems

Ready to Take This Challenge?

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