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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (Generative AI Specialist)

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

At 2026 Innovations, we are on a mission to pioneer the next era of artificial intelligence. We are looking for a visionary Senior AI Architect to lead our cutting-edge generative AI initiatives. If you are passionate about building scalable, responsible, and transformative AI systems, this is your chance to shape the future.


As a key member of our technical leadership team, you will bridge the gap between theoretical research and production-grade deployment. You will architect the infrastructure that powers our next-generation models, ensuring they are robust, efficient, and aligned with our ethical standards.


Why join us?
We offer a competitive compensation package, remote-first flexibility, and the opportunity to work on projects that define the industry standards for 2026 and beyond.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure using cloud-native technologies (AWS, GCP, Azure).
  • Lead the design of Large Language Model (LLM) pipelines, from fine-tuning to inference optimization.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Establish best practices for model monitoring, data governance, and AI ethics.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct research and prototype novel AI architectures to stay ahead of industry trends.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5 years of experience in software engineering and machine learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries.
  • Proven track record of deploying large-scale ML models in production environments.
  • Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS GCP LLM RAG NLP Docker Kubernetes Cloud Architecture

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