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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Architect (2026 Roadmap)

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

Job Description

We are on the cutting edge of future technology and are seeking a visionary Principal AI Architect to lead our 2026 strategic roadmap. As AI evolves into autonomous systems and quantum-enhanced machine learning, we need a leader who can architect the next generation of intelligent infrastructure.


In this role, you will not just implement existing solutions; you will define the technology landscape for the next decade. You will work closely with C-level executives and engineering leads to translate business goals into robust, scalable AI architectures that drive competitive advantage.


Why Join Us?

  • Work on mission-critical projects that shape the future of the industry.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a premium office in San Francisco.

Responsibilities

  • Lead the end-to-end architectural design for our 2026 AI Strategy, focusing on LLMs, Generative AI, and autonomous agents.
  • Define technical standards and best practices for AI model deployment, ensuring scalability, security, and compliance.
  • Collaborate with cross-functional teams (Data Science, Product, Security) to integrate AI solutions into core business workflows.
  • Conduct feasibility studies for emerging technologies and determine their applicability to our 2026 roadmap.
  • Mentor senior engineers and architects, fostering a culture of technical excellence and innovation.
  • Oversee the evaluation and selection of third-party AI tools and platforms.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specifically in Artificial Intelligence and Machine Learning.
  • Deep technical expertise in Python, PyTorch, TensorFlow, and cloud-native architectures (AWS, GCP, Azure).
  • Proven track record of leading AI initiatives from concept to production deployment.
  • Strong understanding of Generative AI models, Transformer architectures, and RAG (Retrieval-Augmented Generation).
  • Experience with MLOps, data pipelines, and model monitoring tools.
  • Excellent communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture MLOps Generative AI 2026 Strategy Cloud Computing AWS GCP

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