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Artificial Intelligence 🏒 Full Time ⭐️ Verified

AI Architect (2026 Focus) - San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary AI Architect (2026 Focus) to join Nexus Future Systems. As we prepare to redefine the landscape of artificial intelligence in 2026, we need a technical leader who can bridge the gap between theoretical AI research and scalable production systems.

In this role, you will spearhead the development of our next-generation Agentic AI framework, focusing on autonomous decision-making processes and advanced large language model (LLM) integration. You will work in a fast-paced, high-impact environment, collaborating with cross-functional teams to build the intelligent systems of tomorrow.

Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to shape the future of technology.

Responsibilities

  • Architect and deploy scalable AI solutions designed for the 2026 technological landscape.
  • Lead the design of Agentic AI workflows, enabling autonomous agents to interact with complex enterprise systems.
  • Optimize and fine-tune Large Language Models (LLMs) for specific industry verticals.
  • Implement robust MLOps pipelines to ensure model reliability, monitoring, and continuous learning.
  • Collaborate with data scientists and software engineers to integrate AI models into our core products.
  • Stay ahead of industry trends, particularly in Generative AI and Semantic Search.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering with a strong focus on Machine Learning/AI.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven experience in designing and implementing LLM applications and RAG (Retrieval-Augmented Generation) architectures.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with vector databases and semantic search technologies.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow LLMs Generative AI MLOps Cloud Computing Docker Kubernetes Machine Learning

Ready to Take This Challenge?

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