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Information Technology 🏒 Full Time ⭐️ Verified

Senior 2026 AI Strategy Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Senior 2026 AI Strategy Architect to lead the next generation of intelligent systems. As we prepare for the technological landscape of 2026, we need an expert who can bridge the gap between theoretical AI advancements and scalable, real-world engineering solutions.

In this role, you will define the architectural roadmap for our Agentic AI initiatives, ensuring our platforms are secure, efficient, and ready for the future of human-computer interaction. You will work closely with our product and engineering teams to integrate cutting-edge Large Language Models (LLMs) into our core infrastructure.

Why Join Us?

  • Shape the future of AI with a world-class team.
  • Competitive salary and equity package.
  • Flexible remote-first work environment.
  • Access to the latest hardware and research tools.

Responsibilities

  • Architect and implement scalable AI infrastructure designed for the 2026 era, focusing on Agentic workflows and autonomous systems.
  • Lead the research and deployment of advanced Large Language Models (LLMs) and generative AI models.
  • Design robust data pipelines and model evaluation frameworks to ensure high accuracy and safety.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Establish best practices for AI ethics, bias mitigation, and explainability in production environments.
  • Stay ahead of emerging trends in quantum computing and edge AI to future-proof our technology stack.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, PyTorch, TensorFlow, or equivalent deep learning frameworks.
  • Proven experience designing and deploying LLMs in production environments.
  • Strong understanding of MLOps, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Master’s degree or PhD in Computer Science, Data Science, or a related technical field.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs MLOps Cloud Architecture Docker Kubernetes AWS Azure Data Engineering AI Ethics

Ready to Take This Challenge?

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