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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our mission in defining the technology landscape for the year 2026. At Nexus Horizon, we are not just building software; we are architecting the future of human-machine interaction. You will be at the forefront of deploying next-generation Generative AI, Agentic Workflows, and Autonomous Systems.

In this role, you will translate high-level strategic goals into robust technical roadmaps, ensuring our platforms remain at the bleeding edge of innovation. If you are passionate about the trajectory of AI and want to build the infrastructure that will power the world in 2026 and beyond, we want to hear from you.

Why join us?

  • Work with a team of elite engineers and researchers.
  • Shape the technical strategy for the next decade.
  • Competitive compensation package and equity options.

Responsibilities

  • Architect Future-Proof Systems: Design and deploy scalable AI infrastructures capable of handling 2026-scale data demands and autonomous workflows.
  • Lead Technical Strategy: Define the technical roadmap for Generative AI integration, ensuring alignment with long-term business goals.
  • Model Optimization: Oversee the training, fine-tuning, and optimization of Large Language Models (LLMs) for enterprise applications.
  • System Integration: Bridge the gap between disparate data silos using advanced AI orchestration and semantic search technologies.
  • Mentorship: Guide junior architects and data scientists in best practices for ethical AI and scalable architecture.
  • Performance Monitoring: Establish rigorous monitoring frameworks to ensure system reliability and latency optimization.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • AI Expertise: Proven track record of designing and implementing Large Language Models (LLMs) or Transformer architectures.
  • Cloud Mastery: Advanced proficiency in AWS, GCP, or Azure, specifically with AI services (SageMaker, Vertex AI).
  • Strategic Mindset: Ability to think several years ahead (2026 horizon) regarding technological trends and regulatory landscapes.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Large Language Models (LLMs) Kubernetes Docker AWS GCP Generative AI System Architecture

Ready to Take This Challenge?

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