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Senior AI Visionary: Architecting the Future of 2026 | San Francisco

Orbital Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are not just building software; we are engineering the reality of 2026. Orbital Systems Inc. is seeking a visionary Senior AI Architect to lead the development of next-generation autonomous agents and generative intelligence systems.


In this pivotal role, you will define the technical roadmap for our flagship AI platform, pushing the boundaries of Large Language Models (LLMs) and predictive analytics. You will work in a high-velocity environment where innovation is not just encouraged—it is the standard.


Why join us?

  • Work on the frontier of Artificial General Intelligence (AGI) applications.
  • Competitive equity package and performance bonuses.
  • Top-tier engineering team and access to cutting-edge hardware.

Responsibilities

  • Architect & Build: Design and deploy scalable, fault-tolerant machine learning pipelines for production-grade applications.
  • Model Development: Lead the fine-tuning and optimization of Large Language Models (LLMs) to achieve state-of-the-art accuracy in niche domains.
  • RAG Implementation: Engineer advanced Retrieval-Augmented Generation systems to ensure data privacy and factual accuracy.
  • Research & Experimentation: Stay ahead of industry trends to integrate novel architectures (e.g., Transformers, Diffusion models) into our stack.
  • Performance Tuning: Optimize model inference latency and reduce computational costs significantly.
  • Team Leadership: Mentor junior engineers and establish best practices for MLOps and AI governance.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Tech Stack: Proficiency in Python, PyTorch, or TensorFlow; experience with cloud platforms (AWS/GCP/Azure).
  • Domain Knowledge: Deep understanding of NLP, Transformer architectures, and Reinforcement Learning from Human Feedback (RLHF).
  • Problem Solving: Demonstrated ability to tackle complex, unstructured problems with elegant algorithmic solutions.
  • Communication: Exceptional ability to translate technical concepts for cross-functional teams.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Generative AI RAG MLOps Cloud Architecture AWS San Francisco

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