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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect - 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the future of artificial intelligence, and we are looking for a visionary AI Architect to lead our 2026 Horizon Initiative. In this pivotal role, you will define the architectural roadmap for next-generation Generative AI systems, ensuring our solutions are scalable, secure, and ethically aligned with the evolving landscape of 2026 and beyond.


As a key member of our Technical Strategy team, you will bridge the gap between cutting-edge research and production-grade engineering. If you are passionate about the intersection of Machine Learning, Distributed Systems, and Strategic Planning, this is your opportunity to shape the technology that will define the next decade.

Responsibilities

  • Architect and design scalable, high-performance AI infrastructure to support the company's 2026 strategic roadmap.
  • Lead the technical strategy for deploying Large Language Models (LLMs) and autonomous agents in production environments.
  • Collaborate with cross-functional teams (Research, Product, Security) to integrate AI capabilities into core products.
  • Establish best practices for model training, fine-tuning, and inference optimization.
  • Mentor senior engineers and foster a culture of innovation and continuous learning.
  • Evaluate emerging technologies and frameworks to ensure our architecture remains future-proof.
  • Define metrics for model performance, reliability, and ethical AI usage.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
  • 10+ years of experience in software engineering with a strong focus on AI/ML systems architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern distributed systems.
  • Proven track record of leading large-scale AI projects from conception to deployment.
  • Experience with MLOps, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Strong understanding of ethical AI principles and regulatory compliance (GDPR, AI Act).
  • Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning System Design MLOps Kubernetes AWS Generative AI LLMs Architecture Leadership

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