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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Transformation Lead

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

We are seeking a visionary 2026 AI Transformation Lead to join our executive team in San Francisco. In this role, you will be the primary architect of our 2026 technology roadmap, driving next-generation AI integration and preparing our enterprise infrastructure for the future of work.

If you are passionate about emerging technologies, quantum-ready systems, and enterprise-wide AI adoption, this is your opportunity to make a lasting impact at a globally recognized tech innovator.

Responsibilities

  • Architect and execute the comprehensive 2026 AI and cloud transformation roadmap.
  • Collaborate with C-suite executives to align forward-looking technology initiatives with long-term business goals.
  • Evaluate and integrate emerging technologies, including next-gen large language models and quantum-safe cryptography.
  • Lead, mentor, and scale a high-performing team of data scientists, AI engineers, and cloud architects.
  • Oversee the transition to hyper-automated, intelligent workflows across all global departments.
  • Ensure all 2026 initiatives meet rigorous compliance, security, and ethical AI standards.

Qualifications

  • 10+ years of experience in technology leadership, enterprise architecture, or AI strategy.
  • Proven track record of successfully executing multi-year digital transformation roadmaps.
  • Deep technical expertise in cloud infrastructure (AWS, Azure, or GCP) and machine learning operations (MLOps).
  • Exceptional communication skills with the ability to translate complex 2026 tech trends to non-technical stakeholders.
  • Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience operating and scaling teams in highly regulated, fast-paced tech environments.

Required Skills

AI Strategy Digital Transformation Cloud Architecture Machine Learning Executive Leadership 2026 Roadmap Planning MLOps

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