Fortive

Software Engineering Intern – AI Enablement

Fortive

internship

Posted on:

Location Type: Hybrid

Location: Minneapolis • Minnesota • United States

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Job Level

Entry Level

Tech Stack

AWSAzureCloudJavaJavaScriptPythonTypeScript

About the role

  • Assist with building and enhancing internal software tools that support AI enablement initiatives, under senior guidance.
  • Write, test, and debug code for well-defined features and automation tasks.
  • Apply object-oriented programming fundamentals and software design patterns as part of day-to-day development work.
  • Support cloud-based development activities related to internal AI tooling and reporting (e.g., services, scripts, or integrations).
  • Gain exposure to CI/CD and basic deployment concepts for internal tools (build, release, versioning, environment awareness).
  • Contribute to automation work such as migrating manual tasks into scheduled jobs where applicable.
  • Follow secure coding practices and team standards, including responsible handling of data and access as required by the team’s environment.
  • Build awareness of healthcare privacy concepts and interoperability standards as relevant to the systems and workflows your tooling may touch.
  • Contribute to initiatives that track and improve AI usage, including helping build a single view of AI adoption and ROI across tools.
  • Support the improvement of internal AI enablement assets (e.g., expanding an AI developer repository into a more turnkey installation/adoption experience).
  • Develop familiarity with AI/ML concepts and how AI-enabled solutions are embedded into real workflows (prototyping and scaling concepts as exposure allows).

Requirements

  • Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field. Graduating December 2026 or later.
  • Internship, academic, or project experience in software development (coursework, capstone, research, or personal projects).
  • Interest in AI enablement, automation, developer tooling, or analytics/measurement (adoption, usage, ROI) is strongly preferred.
  • Programming Languages: Python, JavaScript, or Java (TypeScript a plus).
  • Cloud Platform Exposure: Familiarity with AWS or Azure; exposure via labs/projects acceptable.
  • Version Control & Collaboration Tools: Git/GitHub; familiarity with Jira or similar tools.
  • Automation & Scheduling Concepts: Comfort building repeatable scripts or automations; interest in turning manual tasks into scheduled jobs.
  • Documentation/Enablement Mindset: Ability to write clear setup steps or lightweight guides that help others adopt tools.
  • AI Awareness: Exposure to AI/ML fundamentals and/or interest in practical LLM/automation use cases (not required, but helpful).
Benefits
  • Collaborate with engineers and partners to understand requirements and deliver working solutions
  • Participate in agile team routines (standups, planning, demos) and communicate progress, risks, and learnings.
  • Contributes to documentation and enablement artifacts (how-to notes, setup steps, basic runbooks) to help others adopt and sustain solutions.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
object-oriented programmingsoftware design patternsautomationCI/CDcloud-based developmentscriptingsecure coding practicesAI/ML conceptsPythonJavaScript
Soft Skills
communicationdocumentationteam collaborationproblem-solvingadaptabilityattention to detailorganizational skillsanalytical thinkinginitiativecreativity