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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 AI Readiness Architect

Quantum Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are on the cusp of a technological revolution. Quantum Horizon is seeking a visionary Senior 2026 AI Readiness Architect to define the infrastructure and strategy that will power businesses through the next decade of technological evolution. In this high-impact role, you will bridge the gap between theoretical AI capabilities and tangible business outcomes, ensuring our clients are future-proofed for the AI-driven landscape of 2026 and beyond.

As a leader in our organization, you will not only architect systems but also shape the future of enterprise intelligence.

Responsibilities

  • Design and implement scalable AI architectures that align with 2026 technological standards and predictive trends.
  • Lead the integration of Generative AI, predictive analytics, and autonomous agent systems into existing enterprise ecosystems.
  • Define clear roadmaps for AI adoption, ensuring long-term scalability, security, and compliance.
  • Collaborate with cross-functional teams—including data scientists, engineers, and product managers—to translate complex technical requirements into strategic business solutions.
  • Establish ethical guidelines and governance frameworks for AI deployment to mitigate bias and ensure responsible innovation.
  • Conduct rigorous testing and validation of AI models to ensure high accuracy and performance in real-world scenarios.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
  • Minimum of 7+ years of experience in AI/ML architecture, with a strong focus on enterprise-level solutions.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or GCP).
  • Proven track record of leading complex AI projects from concept to deployment.
  • Strong understanding of Large Language Models (LLMs), NLP, and Computer Vision technologies.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Generative AI LLM Python Cloud Architecture Strategic Planning Data Engineering Ethics in AI

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