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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Lead AI Architect: Architecting the 2026 AI Paradigm

Orbital Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the future of intelligent systems? Orbital Dynamics is on a mission to deploy the world's first commercially viable Autonomous Agent Infrastructure by 2026.

We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation Large Language Models (LLMs) and multi-agent systems. You won't just be writing code; you will be architecting the cognitive layer of our enterprise solutions. This is a high-impact role for a technologist who thrives in ambiguity and is obsessed with pushing the boundaries of Generative AI.

Why Join Us?

  • Future-Ready Tech Stack: Work with cutting-edge frameworks and proprietary AI models.
  • Global Impact: Your work will power autonomous decision-making for Fortune 500 clients.
  • Top-Tier Talent: Collaborate with world-class researchers and engineers.

Responsibilities

  • Design and implement scalable Autonomous Agent architectures capable of complex reasoning and task execution.
  • Lead the research and development of Large Language Models (LLMs), focusing on efficiency, hallucination reduction, and safety.
  • Optimize inference pipelines and training workflows to support real-time applications.
  • Define the technical roadmap for AI capabilities through 2026 and beyond.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Collaborate cross-functionally with product, design, and data science teams to deliver high-impact features.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 5+ years of experience in Machine Learning, Deep Learning, or NLP.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying production-grade LLMs or similar generative models.
  • Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP/Azure).
  • Experience with Reinforcement Learning from Human Feedback (RLHF) and RAG (Retrieval-Augmented Generation).

Required Skills

Python PyTorch TensorFlow LLM NLP Machine Learning AI Autonomous Agents Cloud Computing System Design San Francisco Tech Recruiter

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