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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026 | Sunnyvale, CA

Nexus Horizon Technologies
Sunnyvale
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are on a mission to redefine the technological landscape through our flagship initiative, Project 2026. As a Senior AI Architect, you will be at the forefront of building the next generation of autonomous systems and neural networks. We are looking for a visionary engineer who thrives in ambiguity and possesses the technical prowess to architect scalable, high-performance solutions for complex global challenges.

In this role, you will not just write code; you will shape the future of our enterprise infrastructure. You will collaborate with cross-functional teams to translate business objectives into technical realities, ensuring our platform remains agile, secure, and ahead of the curve.

Responsibilities

  • Architect and design the core infrastructure for Project 2026, ensuring high availability, scalability, and fault tolerance.
  • Lead the technical strategy for integrating advanced AI/ML models into real-time production environments.
  • Define and enforce best practices for code quality, security, and architectural standards across the engineering department.
  • Mentor junior engineers and senior staff, fostering a culture of continuous learning and innovation.
  • Conduct deep-dive technical reviews and performance optimizations to reduce latency and improve system efficiency.
  • Collaborate with product managers and stakeholders to translate complex requirements into actionable technical roadmaps.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Minimum of 8 years of experience in software architecture, with at least 3 years in AI/ML system design.
  • Proven expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and serverless architectures.
  • Experience with MLOps pipelines, data governance, and large-scale data processing (Spark, Kafka).
  • Exceptional problem-solving skills and the ability to work effectively in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Kubernetes Docker AWS MLOps System Design Machine Learning Cloud Architecture

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