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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Vision) to lead the next generation of autonomous intelligent systems. As we approach the paradigm shift of 2026, our mission is to engineer AI agents that possess true reasoning capabilities, multimodal understanding, and self-improving architectures.

In this role, you will not just build models; you will define the infrastructure for a future where AI seamlessly integrates into every facet of enterprise and consumer technology. You will work at the intersection of Generative AI, Reinforcement Learning, and scalable distributed systems.

Why join us? We offer top-tier compensation, equity packages, and the opportunity to work on cutting-edge problems that will define the decade.

Responsibilities

  • Architect and deploy scalable AI agent frameworks designed for the 2026 landscape, including multi-agent systems and autonomous workflows.
  • Lead the research and implementation of advanced LLM fine-tuning and RAG (Retrieval-Augmented Generation) pipelines to enhance reasoning accuracy.
  • Optimize inference performance and reduce latency for real-time AI applications serving millions of users.
  • Collaborate with product leaders to translate complex 2026 vision requirements into technical specifications and roadmaps.
  • Establish best practices for MLOps, ensuring reproducibility, monitoring, and governance of AI models.
  • Conduct rigorous testing and validation of AI agents to ensure safety, robustness, and alignment with human values.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
  • Deep expertise in Python, PyTorch, or TensorFlow, with proven experience deploying models to production environments (AWS, GCP, or Azure).
  • Strong understanding of Large Language Models (LLMs), Transformers, and vector databases.
  • Experience designing complex distributed systems capable of handling high throughput and low latency.
  • Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.

Required Skills

Python PyTorch Machine Learning LLMs MLOps AWS Kubernetes Distributed Systems AI Agents

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