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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Readiness Architect (2026 Horizon)

Nexus Core Technologies
Seattle
Estimated Salary
USD 160.000 – USD 230.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are looking for a visionary Senior AI Readiness Architect (2026 Horizon) to lead our strategic technological roadmap. In this pivotal role, you will architect scalable, future-proof AI infrastructure designed to meet the demands of the 2026 landscape. You will bridge the gap between theoretical AI models and enterprise-grade deployment, ensuring our systems are robust, ethical, and ready for the next generation of computational challenges.

Why Join Us?

  • Future-Proof Your Career: Work on projects that define the standard for AI deployment in the 2026 era.
  • Premium Compensation: Competitive salary plus performance bonuses.
  • Top-Tier Team: Collaborate with industry leaders in Machine Learning and Cloud Infrastructure.

Ready to shape the future? Apply today.

Responsibilities

  • Design and implement a scalable AI infrastructure roadmap aligned with 2026 technological milestones.
  • Oversee the integration of advanced Machine Learning models into existing enterprise workflows.
  • Evaluate and recommend emerging technologies to ensure long-term system viability.
  • Lead architecture reviews to ensure code quality, security, and performance standards.
  • Collaborate with cross-functional teams to translate business requirements into technical specifications.
  • Establish best practices for AI ethics, bias mitigation, and data governance.
  • Drive the migration of legacy systems to next-generation cloud-native architectures.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • 7+ years of experience in software architecture, with a focus on AI/ML systems.
  • Proven track record of leading technical teams in a fast-paced environment.
  • Deep understanding of Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP).
  • Experience with MLOps, CI/CD pipelines, and containerization (Docker/Kubernetes).
  • Strong knowledge of data structures, algorithms, and distributed systems.
  • Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP MLOps Docker Kubernetes Machine Learning Cloud Architecture Data Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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