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Information Technology 🏢 Full Time ⭐️ Verified

AI Architect | Shaping the Future of AI in 2026 | San Francisco, CA

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

Job Description

Join the Architects of Tomorrow

We are seeking a visionary AI Architect to lead the technical roadmap for Nexus 2026 Technologies. As we prepare to redefine the landscape of artificial intelligence in the year 2026, you will be at the forefront of designing scalable, secure, and innovative machine learning infrastructure.

In this role, you will bridge the gap between cutting-edge research and production-ready systems, ensuring our platforms remain at the bleeding edge of technological advancement.

Responsibilities

  • Lead the architectural design and implementation of next-generation AI and machine learning systems.
  • Define the technical strategy and roadmap for AI integration across the organization.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation.
  • Optimize existing models for scalability, performance, and cost-efficiency.
  • Establish best practices for MLOps, data governance, and ethical AI usage.
  • Research emerging technologies to ensure the company remains competitive in the 2026 landscape.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, or equivalent deep learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and big data technologies.
  • Experience with designing systems that handle high-throughput, low-latency workloads.
  • Demonstrated leadership in mentoring teams and driving technical vision.

Required Skills

AI Machine Learning Python TensorFlow System Design Cloud Architecture MLOps Deep Learning Big Data Leadership

Ready to Take This Challenge?

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