Equip

Senior AI Engineer

Equip

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $175,000 - $200,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformMavenPython

About the role

  • Lead the strategic implementation of AI technologies across business operations to drive automation and increase employee productivity.
  • Partner with cross-functional teams to identify and deliver high-impact, secure, and scalable AI solutions that streamline manual workflows.
  • Establish AI governance frameworks, prototypes and iterates on new ideas, and implements robust technical safeguards.
  • Play a key part in change management efforts to support company-wide adoption of AI tools and best practices.
  • Success in this role requires a strong sense of ownership, end-to-end execution capability, and comfort operating in a fast-paced, evolving environment.
  • Collaborate with cross-functional stakeholders to identify, prioritize, and execute on high-ROI opportunities for AI-driven process optimization.
  • Rapidly prototype, iterate on, and deploy internal AI tools and systems that enhance employee productivity.
  • Monitor and evaluate the performance of deployed AI systems, continuously improving reliability, scalability, and impact.
  • Define and implement AI governance frameworks to ensure compliance with data privacy regulations, ethical standards, and internal security protocols.
  • Develop and lead change management strategies to drive adoption of AI solutions across teams.
  • Build and share internal expertise through documentation, tooling standards, and knowledge transfer.
  • Perform other duties as assigned.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Minimum 7 years of experience in software engineering or digital transformation, including 2+ years focused on AI/ML or automation implementation.
  • Proficiency in Python, cloud platforms (AWS, Azure, or GCP), and modern AI/ML frameworks.
  • Demonstrated experience in full-stack development and deploying secure, scalable AI systems.
  • Strong project management, stakeholder communication, and cross-functional collaboration skills.
  • Experience with data pipeline development and integration into enterprise systems.
  • Understanding of business process optimization and organizational change management.