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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - Project 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Horizon is seeking a visionary Lead AI Architect to spearhead Project 2026, our flagship initiative to redefine the boundaries of generative AI and autonomous decision-making.

In this high-impact role, you won't just be maintaining existing systems; you will be building the core infrastructure for the next generation of technology. We are looking for a technical leader who thrives on complexity and possesses the foresight to prepare our platforms for the demands of the year 2026 and beyond.

Join a team of elite engineers and data scientists committed to pushing the envelope of what is possible in machine learning, computer vision, and large language models.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure tailored for the Project 2026 roadmap.
  • Lead the architectural strategy for deploying generative models in production environments with zero-latency requirements.
  • Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Ensure system reliability, security, and ethical AI compliance across all deployed models.
  • Research and prototype cutting-edge algorithms to stay ahead of industry trends in 2026.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and cloud-native architectures (AWS/GCP).
  • Proven track record of leading large-scale ML initiatives from concept to deployment.
  • Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Experience with MLOps pipelines and model versioning (MLflow, Kubeflow).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes MLOps Machine Learning Distributed Systems Deep Learning Cloud Architecture

Ready to Take This Challenge?

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