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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon Initiative

Nexus Future Labs
San Francisco
Estimated Salary
USD 185.000 – USD 240.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026. Nexus Future Labs is seeking a visionary Senior AI Architect to lead our R&D division in building next-generation neural systems and autonomous agents.

If you thrive in high-stakes environments and want to push the boundaries of what is possible in Artificial Intelligence, this is your opportunity to shape the future. You will be at the forefront of integrating Large Language Models (LLMs) with quantum-ready hardware architectures.

Responsibilities

  • Architect and design scalable, fault-tolerant AI infrastructure for the 2026 product roadmap.
  • Lead the research and implementation of novel deep learning algorithms and generative models.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate business requirements into technical solutions.
  • Optimize existing data pipelines and model training workflows for maximum efficiency and speed.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay ahead of industry trends in AI, specifically focusing on advancements expected by 2026.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership role.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Proven track record of deploying AI solutions to production environments at scale.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning NLP PyTorch TensorFlow AWS GCP Docker Kubernetes System Design

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