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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Shaping the Future (2026)

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are on the precipice of a technological revolution. As we prepare for the 2026 Horizon Initiative, Nexus Horizon Inc. is seeking a visionary Senior AI Architect to lead the deployment of next-generation neural networks and autonomous systems. You will define the technical roadmap that will power our products through the next decade.

In this role, you won't just write code; you will architect the future. We are looking for a leader who thrives in ambiguity and possesses the technical prowess to turn complex algorithms into scalable, real-world solutions.

Why join us?

  • Work on cutting-edge AI infrastructure for the 2026 era.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium San Francisco office amenities.
  • Access to the latest hardware for AI research and development.

Responsibilities

  • Lead the architectural design and implementation of scalable AI systems, focusing on performance and security for the 2026 roadmap.
  • Define the technical vision for Generative AI and Large Language Model (LLM) integration across the enterprise.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Mentor and develop a high-performing engineering team, fostering a culture of innovation and continuous learning.
  • Ensure compliance with industry standards and ethical guidelines in AI development.
  • Drive the migration of legacy systems to modern, cloud-native architectures.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a senior architect role within AI or Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Strong proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Proven track record of designing systems that handle high concurrency and large-scale data processing.
  • Master’s degree or PhD in Computer Science, AI, or a related technical field is preferred.
  • Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP Docker Kubernetes Machine Learning Deep Learning Generative AI Cloud Architecture System Design

Ready to Take This Challenge?

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