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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Job Description

We are at the forefront of the next technological paradigm. Nexus Future Systems is seeking a visionary Senior AI Architect (Project 2026) to design the infrastructure that will define the future of autonomous intelligence. If you are passionate about pushing the boundaries of what is possible in Generative AI and Quantum-ready computing, we want to hear from you.

About the Role:

You will lead the architectural design of our flagship initiative, ensuring scalability, security, and performance at a global scale. You won't just be maintaining legacy systems; you are building the foundation for our 2026 roadmap and beyond.

Responsibilities

  • Architect and design end-to-end AI solutions for the Project 2026 initiative, focusing on scalability and fault tolerance.
  • Lead the technical strategy for integrating Large Language Models (LLMs) into enterprise-grade applications.
  • Collaborate with cross-functional teams to translate complex business requirements into robust technical blueprints.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure all systems adhere to the highest security and compliance standards (SOC2, GDPR).
  • Optimize model inference latency and reduce operational costs through advanced engineering techniques.
  • Define and implement best practices for MLOps and deployment pipelines.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture or Deep Learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep understanding of distributed systems, microservices, and containerization technologies (Docker, Kubernetes).
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
  • Proven track record of deploying production-ready machine learning models serving millions of requests.
  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Exceptional communication skills with the ability to influence stakeholders at all levels.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design AWS GCP Docker Kubernetes MLOps AI Architecture

Ready to Take This Challenge?

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