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Senior AI Architect - 2026 Horizon

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are on the cutting edge of artificial intelligence, and we are looking for a visionary Senior AI Architect to help us define the technical landscape for the year 2026. This is not just a job; it is an opportunity to build the foundational systems that will power the next generation of human-machine interaction. You will work alongside world-class researchers and engineers to solve complex problems at the intersection of deep learning, large language models, and scalable infrastructure.

At Nexus Future Systems, we believe that the future is built today. We are seeking someone who is passionate about the trajectory of AI and eager to push the boundaries of what is possible by 2026.

Responsibilities

  • Architect and deploy scalable, fault-tolerant AI infrastructure designed for 2026 workloads.
  • Lead the research and development of proprietary generative AI models and large language models (LLMs).
  • Collaborate with product teams to translate complex AI capabilities into user-centric features.
  • Implement best practices for MLOps, data pipelines, and model deployment strategies.
  • Ensure ethical AI practices and bias mitigation in all model development processes.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Define the technical roadmap for AI advancements leading up to the 2026 release cycle.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of experience in software engineering with a focus on AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Proven track record of shipping production-level machine learning models.
  • Experience with distributed systems, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps Kubernetes AWS Generative AI Distributed Systems

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