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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision) - Infrastructure Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the technological roadmap for 2026. At Nexus Future Labs, we are building the infrastructure that will power the next generation of intelligent systems. You will be responsible for designing scalable, high-performance AI architectures that can handle billions of data points with zero latency.

As a key member of our engineering leadership team, you will bridge the gap between cutting-edge AI research and robust, production-grade cloud infrastructure. Join us in shaping the future of technology and define the standards for the 2026 era.

Responsibilities

  • Define and execute the technical architecture for the 2026 AI infrastructure roadmap, ensuring scalability and resilience.
  • Design and implement microservices-based AI pipelines using Kubernetes and Docker for high availability.
  • Optimize deep learning models for edge deployment and real-time inference.
  • Collaborate with data scientists and product managers to translate business requirements into technical solutions.
  • Implement rigorous monitoring and observability protocols to ensure system integrity.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI infrastructure or MLOps.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration.
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Python TensorFlow Kubernetes AWS MLOps Docker Machine Learning Deep Learning Cloud Architecture PyTorch

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