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Principal AI Architect (2026 Horizon Initiative)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are pioneering the technological landscape of 2026 and beyond. As a Principal AI Architect, you will be at the forefront of designing scalable, robust, and ethical AI systems that redefine user experiences. You will lead the architectural vision for our next-generation predictive models and generative AI platforms.

In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and production-grade software engineering. You will work closely with cross-functional teams to drive innovation, ensuring our solutions are secure, efficient, and ready for the future.

Responsibilities

  • Architectural Leadership: Design and implement a scalable, high-performance AI infrastructure roadmap aligned with 2026 business goals.
  • Model Development: Oversee the development and deployment of large-scale neural networks and generative AI models.
  • Technical Strategy: Define technical standards and best practices for AI/ML engineering within the organization.
  • Team Mentorship: Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Performance Optimization: Ensure model latency and throughput meet enterprise-level requirements through rigorous optimization.
  • Stakeholder Collaboration: Communicate complex technical concepts to non-technical stakeholders and drive product roadmaps.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering with at least 4 years focused on AI/ML architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience with LLMs (e.g., GPT, BERT) and RAG architectures.
  • Cloud Mastery: Extensive experience designing systems on AWS, GCP, or Azure.
  • System Design: Strong understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Soft Skills: Exceptional leadership abilities and the capacity to thrive in a fast-paced, startup environment.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes Docker Machine Learning Deep Learning System Architecture Leadership

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