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Senior AI Strategy Architect (2026 Vision)

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are seeking a visionary Senior AI Strategy Architect to lead our initiatives aimed at defining the technological landscape of 2026. At Quantum Leap Dynamics, we are not just building for today; we are engineering the infrastructure for the autonomous, intelligent enterprise of tomorrow. You will be at the forefront of integrating Generative AI, predictive analytics, and ethical frameworks to drive sustainable growth.

In this role, you will bridge the gap between high-level business strategy and technical execution, ensuring our roadmap aligns with the rapid pace of innovation expected in 2026. If you have a passion for the future of technology and a knack for turning complex data into actionable roadmaps, we want to hear from you.

Responsibilities

  • Define and articulate the 2026 technology roadmap, focusing on AI integration and automation.
  • Lead cross-functional teams in the development of scalable AI solutions for enterprise clients.
  • Conduct rigorous market analysis to identify emerging trends in artificial intelligence and machine learning.
  • Partner with executive leadership to align technical capabilities with business objectives.
  • Establish governance frameworks for ethical AI usage and data privacy compliance.
  • Mentor junior architects and data scientists, fostering a culture of innovation and continuous learning.
  • Prioritize R&D initiatives that provide a competitive advantage leading up to 2026.

Qualifications

  • 10+ years of experience in software architecture, data science, or strategic technology consulting.
  • Deep expertise in Artificial Intelligence, Machine Learning, and Natural Language Processing.
  • Proven track record of leading high-impact technical transformations or strategic initiatives.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and DevOps practices.
  • Excellent communication skills with the ability to translate technical jargon for non-technical stakeholders.
  • Master’s degree in Computer Science, Data Science, Engineering, or a related field is preferred.
  • Experience in a fast-paced, startup-like environment or a large-scale tech corporation.

Required Skills

Artificial Intelligence Machine Learning Strategy Leadership Cloud Computing Data Science Python R Ethics in AI Enterprise Architecture

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