AI Enablement Engineer
Fortive
full-time
Posted on:
Location Type: Remote
Location: Kansas • United States
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About the role
- Act as the technical owner and developer of AI-powered automation projects—from discovery through delivery—across internal business domains (e.g. finance, operations, HR, customer support, product development).
- Translate ambiguous business problems into concrete AI/ML opportunities and deliver working solutions using tools like large language models, intelligent agents, workflow automation, and custom software integrations.
- Build prototypes and minimum viable solutions (MVS), demonstrate ROI, and work with engineering or ops teams to scale or productionize.
- Engage directly with business stakeholders, SMEs, and process owners to identify high-impact opportunities for AI enablement.
- Collaborate with global engineering, data, and automation teams to deliver and support deployed solutions—often working with offshore counterparts.
- Serve as a technical liaison across functions, ensuring solutions meet business needs, compliance standards, and technical best practices.
- Create enablement artifacts (templates, documentation, reusable code, training resources) to allow teams to self-sustain and expand AI usage after the initial implementation.
- Provide mentorship and onboarding support to internal teams inheriting automation frameworks or tools.
- Design playbooks and re-usable modules that accelerate repeat adoption across other business units.
- Establish a scalable model for rolling out AI automation solutions across business centers: build → enable → transition → replicate.
- Drive consistent alignment to enterprise standards for responsible AI usage, data access, and compliance.
- Influence tooling and platform decisions to ensure long-term sustainability and extensibility of AI-driven workflows.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, or related field.
- 5-8 years of experience in software engineering, systems engineering, or automation development, preferably across multiple domains.
- Demonstrated experience building and deploying AI/ML or automation solutions using tools such as Python, cloud services (AWS/GCP/Azure), REST APIs, orchestration platforms, or GenAI APIs (e.g. OpenAI, Bedrock, Azure OpenAI).
- Strong communication and stakeholder engagement skills; able to translate business needs into technical requirements and vice versa.
- Proven success working across cross-functional and globally distributed teams, including coordination with offshore partners or delivery centers.
- Ability to take ownership of the entire AI solution lifecycle—from problem framing to deployment to handoff.
- Familiarity with enterprise SDLC, DevOps practices, security, and compliance constraints in complex environments.
- Self-sufficient and self-starter who is able to apply solid thought processes to breakdown problems and complex situations into workstreams/actions that will drive impact and value.
- Able to quickly learn and master FBS tools.
- Demonstrated proficiency in time and project management, as well as ability to handle priority setting and ability to resolve prioritization conflicts.
- Ability to travel 25-30% is required.
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMLautomation developmentsoftware engineeringPythoncloud servicesREST APIsorchestration platformsGenAI APIsenterprise SDLC
Soft Skills
communicationstakeholder engagementcross-functional collaborationproblem framingproject managementself-sufficiencythought processespriority settingmentorshiponboarding support
Certifications
Bachelor’s degreeMaster’s degree