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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Readiness Architect

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary 2026 AI Readiness Architect to lead our strategic infrastructure initiatives. In this pivotal role, you will bridge the gap between current technological capabilities and the advanced requirements of the year 2026. You will design scalable, secure, and future-proof systems that integrate cutting-edge artificial intelligence, quantum computing principles, and next-gen cloud ecosystems. Join us in shaping the digital infrastructure of tomorrow.

Why Join Us?

  • Work at the intersection of AI and infrastructure.
  • Competitive compensation package with equity options.
  • Opportunity to define the roadmap for enterprise-wide technological evolution.

Responsibilities

  • Architect and design enterprise-grade AI infrastructure capable of scaling to 2026 standards.
  • Conduct comprehensive audits of legacy systems to identify gaps for future AI integration.
  • Collaborate with cross-functional teams to define technical roadmaps for AI adoption.
  • Implement quantum-resistant encryption and security protocols for future-proof data handling.
  • Mentor junior architects and engineers on best practices for scalable AI architecture.
  • Stay ahead of emerging trends in neural networks, edge computing, and autonomous systems.
  • Drive the migration of on-premise infrastructure to hybrid cloud environments optimized for AI workloads.

Qualifications

  • 10+ years of experience in software architecture, specifically within the AI/ML or Cloud sectors.
  • Deep understanding of machine learning pipelines, data governance, and model deployment strategies.
  • Experience with high-performance computing (HPC) and quantum computing concepts.
  • Strong proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or GCP).
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Proven track record of leading large-scale technical transformations and infrastructure migrations.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.

Required Skills

Python TensorFlow AWS Azure Cloud Architecture AI Strategy Quantum Computing Machine Learning Data Engineering

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