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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Transformation Lead

FutureForge Technologies
Austin
Estimated Salary
USD 160.000 – USD 210.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are seeking a visionary 2026 AI Transformation Lead to join our cutting-edge team in Austin, Texas. In this pivotal role, you will be the driving force behind our strategic artificial intelligence initiatives targeted for our 2026 milestone. If you are passionate about shaping the future of enterprise technology, driving unprecedented growth, and leading high-impact projects, we want you on our team. Step into a role where your strategic vision directly shapes our technological landscape.

Responsibilities

  • Architect and execute the comprehensive AI and machine learning roadmap aligned with our 2026 corporate vision.
  • Lead cross-functional teams of data scientists, engineers, and product managers to deliver scalable, next-generation AI solutions.
  • Evaluate emerging AI technologies and integrate them seamlessly into existing enterprise frameworks.
  • Establish governance, security, and ethical AI frameworks to ensure safe and compliant deployments.
  • Present strategic insights, project milestones, and ROI metrics to the C-suite and key stakeholders.
  • Manage departmental budgets, forecasting, and resource allocation for maximum operational efficiency.
  • Foster a culture of continuous learning, innovation, and psychological safety within the engineering teams.

Qualifications

  • 8+ years of experience in technology leadership, product management, or enterprise architecture.
  • Demonstrated success in leading large-scale AI/ML transformations from conception to production.
  • Deep understanding of modern AI tech stacks, Large Language Models (LLMs), and cloud infrastructure (AWS, Azure, or GCP).
  • Exceptional leadership and communication skills, with the ability to translate complex technical concepts into clear business value.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.
  • Proven track record of operating successfully in highly agile, fast-paced tech environments.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Cloud Infrastructure Team Leadership Enterprise Architecture LLMs Data Science

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