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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 GenAI Roadmap

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our technical roadmap leading up to 2026. As the industry races towards autonomous agents and advanced generative intelligence, you will define the architectural foundation that powers our next generation of products. This is not just a development role; it is a strategic position focused on future-proofing our infrastructure for the 2026 landscape. You will work closely with product leaders to translate futuristic concepts into scalable, production-ready solutions. Join us in shaping the intelligence of tomorrow.

Responsibilities

  • Architect and lead the technical strategy for our 2026 GenAI roadmap, ensuring scalability and reliability.
  • Design and optimize large-scale machine learning pipelines and inference engines.
  • Implement advanced RAG (Retrieval-Augmented Generation) architectures to enhance model accuracy.
  • Collaborate with cross-functional teams to integrate AI agents into core business workflows.
  • Mentor junior engineers and define coding standards for AI projects.
  • Stay ahead of industry trends in NLP, Computer Vision, and Autonomous Systems.
  • Evaluate and deploy state-of-the-art open-source models tailored for enterprise use cases.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in software engineering with a focus on Machine Learning and AI.
  • Expert proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
  • Proven experience designing systems for high-throughput, low-latency inference environments.
  • Strong understanding of vector databases and embeddings management.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to translate technical jargon for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Large Language Models Cloud Architecture System Design AI Strategy Kubernetes Docker

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