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Senior AI Architect - Project 2026

Synapse Core
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Architecting the Future of Intelligence

Synapse Core is at the forefront of the AI revolution, developing the cognitive frameworks that will define the next decade. We are currently seeking a visionary Senior AI Architect to spearhead the development of Project 2026, our next-generation generative AI ecosystem.

In this high-impact role, you will not just write code; you will define the architectural backbone of a system capable of processing complex, unstructured data at scale. You will work in a fast-paced, elite engineering environment where innovation is the only metric that matters.

Responsibilities

  • Lead the architectural design and technical strategy for Project 2026, ensuring high performance, scalability, and security.
  • Design and optimize large-scale neural network architectures and deep learning pipelines.
  • Collaborate with data scientists and product leads to translate cutting-edge research into production-ready software.
  • Establish best practices for model deployment, monitoring, and MLOps.
  • Mentor a team of talented engineers, fostering a culture of technical excellence and continuous learning.
  • Ensure compliance with ethical AI standards and data governance protocols.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in Machine Learning or AI architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Deep expertise in Large Language Models (LLMs), transformers, and generative AI architectures.
  • Experience designing cloud-native solutions on AWS, Azure, or GCP.
  • Master’s degree in Computer Science, Statistics, or a related field (PhD preferred).
  • Proven track record of leading cross-functional teams and delivering complex systems on time.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems Kubernetes AWS Azure MLOps NLP

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