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Senior AI Architect - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the Project 2026 initiative, a cutting-edge program dedicated to developing next-generation autonomous systems and generative AI frameworks. You will be at the forefront of defining the technological landscape for the coming decade, working on scalable solutions that push the boundaries of machine learning.

Join a team of elite engineers and researchers who are not just building software, but are architecting the future of human-machine interaction. If you are passionate about the trajectory of AI and want to leave a legacy in 2026, we want to hear from you.

Responsibilities

  • Design and architect scalable, high-performance AI infrastructure for Project 2026.
  • Lead the research and implementation of state-of-the-art Large Language Models (LLMs) and multimodal systems.
  • Define the technical vision and roadmap for the 2026 product suite, ensuring alignment with business goals.
  • Optimize model training pipelines and reduce inference latency in real-time environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate cross-functionally with product managers and security teams to mitigate AI risks.
  • Stay ahead of industry trends, specifically focusing on Agentic AI and autonomous agents.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools.
  • Proven track record of deploying production-grade machine learning models at scale.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and data engineering.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Experience leading high-performance engineering teams in a fast-paced startup environment.

Required Skills

Python Machine Learning Deep Learning MLOps TensorFlow PyTorch AWS Cloud Architecture Distributed Systems NLP LLMs

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