Home Job Details
O
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Initiative

Orbital Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the Future of Intelligence.

We are seeking a visionary Senior AI Architect to spearhead our 2026 Initiative. In a rapidly evolving tech landscape, you will be at the forefront of deploying next-generation Generative AI models designed to redefine human-machine interaction.

At Orbital Dynamics, we don't just predict the future; we engineer it. You will work alongside world-class researchers to build scalable, ethical, and high-performance AI systems tailored for the enterprise of tomorrow.

Why You’ll Thrive Here:

  • Impactful Work: Directly influence the roadmap for our flagship AI products.
  • Elite Team: Collaborate with top-tier engineers and researchers in a premium tech environment.
  • Growth: Access to cutting-edge compute resources and proprietary datasets.
  • Compensation: Competitive salary, equity, and comprehensive benefits package.

Responsibilities

  • Architect and deploy state-of-the-art Large Language Models (LLMs) for scalable production environments.
  • Optimize model inference pipelines to minimize latency and maximize cost-efficiency.
  • Lead the research and implementation of novel AI techniques aligned with the 2026 roadmap.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate technical requirements into user-centric solutions.
  • Establish best practices for MLOps, data governance, and ethical AI usage.
  • Perform rigorous testing and validation to ensure model reliability and safety.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Proven track record of shipping production-grade machine learning applications.
  • Strong proficiency in Python, SQL, and cloud infrastructure (AWS, GCP, or Azure).
  • Experience with fine-tuning LLMs and RAG (Retrieval-Augmented Generation) architectures.
  • Deep understanding of transformer models and attention mechanisms.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS LLMs Generative AI SQL Cloud Infrastructure

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All