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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect (Project 2026)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Future-Ready AI Architect to lead the strategic development of Project 2026. In this pivotal role, you will define the technical landscape for the next generation of autonomous systems and generative AI applications. Join Nexus Horizon Technologies and help build the infrastructure that will power the future.

Why Join Us?

• Be at the forefront of technological evolution.

• Work with cutting-edge tools in a remote-first environment.

• Competitive compensation and equity package.

Key Responsibilities:

Responsibilities

  • Lead the architectural vision and design of scalable AI systems for Project 2026.
  • Define and execute the technical roadmap for integrating next-generation machine learning models.
  • Collaborate with cross-functional teams to translate business objectives into robust technical solutions.
  • Oversee the deployment of secure, cloud-native infrastructure optimized for future scalability.
  • Mentor a team of talented engineers and data scientists in emerging technologies.
  • Stay ahead of industry trends to ensure our platform remains competitive in the 2026 landscape.

Qualifications:

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and large language models (LLMs).
  • Strong background in cloud architecture (AWS, GCP, or Azure) and Kubernetes.
  • Proven track record of leading high-performance teams in a fast-paced, agile environment.
  • Experience with data pipelines, MLOps, and model deployment strategies.
  • Excellent communication skills with the ability to bridge the gap between technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture MLOps System Design Deep Learning Kubernetes AWS

Ready to Take This Challenge?

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