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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the next generation of artificial intelligence? 2026 is pioneering the future, and we are looking for a visionary Senior AI Architect to lead our groundbreaking research division.

At 2026, we don't just predict the future; we build it. We are seeking a technical expert to design scalable neural networks and deploy cutting-edge models that will redefine human-machine interaction. If you thrive in a fast-paced, high-stakes environment and want to leave a lasting impact on the tech landscape, this is your opportunity.

Why Join 2026?

  • Work on projects that shape the trajectory of global technology.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with top-tier benefits.

Responsibilities

  • Architect and implement state-of-the-art machine learning models and neural network architectures.
  • Lead the end-to-end lifecycle of AI solutions, from data ingestion to model deployment and production monitoring.
  • Collaborate with cross-functional teams of engineers, designers, and product managers to translate complex requirements into robust technical solutions.
  • Optimize existing models for latency, throughput, and scalability in high-traffic environments.
  • Stay at the forefront of AI research and integrate novel techniques into our engineering stack.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying large-scale models.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with distributed computing systems (e.g., Kubernetes, Spark) and cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to work independently in a remote-first, agile environment.

Required Skills

Python PyTorch TensorFlow NLP LLMs Machine Learning Kubernetes AWS Neural Networks Deep Learning

Ready to Take This Challenge?

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