AI Enablement Specialist
Raleigh, Wake County, North Carolina, 27601, USA
Listed on 2026-01-23
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IT/Tech
AI Engineer, IT Consultant, Data Scientist
About Soft Pro
Soft Pro is the nation’s leading provider of real estate closing and title insurance software. A division of Fidelity National Financial (NYSE: FNF), Soft Pro’s technology solutions are trusted by thousands of law firms and title companies across the country and play an essential role in residential and commercial real estate transactions. Our headquarters is in Raleigh, North Carolina.
Why Join Soft Pro?We believe in taking care of our people and fostering a culture of excellence. Here’s what we offer:
- Comprehensive Benefits:
Medical, dental, vision, disability, and more - Financial Wellness: 401(k) with company match and Employee Stock Purchase Plan
- Generous Paid Time Off: vacation, holidays, and parental leave
- Flexibility:
Some positions are eligible for 100% remote work, plus hybrid options for those living near our Raleigh HQ
Soft Pro has received national recognition for our outstanding customer service and innovative products. We were recently named a 2025 Best Place to Work by the Triangle Business Journal—an honor we’ve earned 13 times since 2012
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At Soft Pro, our success is built on the principles we live every day:
- Deliver AMAZING Customer Service
- Be an AWESOME Teammate
- Adopt a Sense of Urgency
- Innovate to be Efficient
- Produce Quality Work
- Take Initiative
- Go the Extra Mile
If these values resonate with you, we’d love to have you on our team!
What are we looking for?Soft Pro is seeking a R&D AI Enablement Specialist to join our R&D/Product organization to help our developers, quality assurance and Dev Ops engineers embrace AI based processes and tools in their day‑to‑day workflows. This position can be based in our Raleigh, NC office or can be remote. Remote employees will need to work East Coast hours.
What will I do as a R&D AI Enablement Specialist at Soft Pro?The primary responsibility of the R&D AI Enablement Specialist will be to fully immerse themselves in our developers’, QA, Dev Ops and Site Reliability engineers’ day‑to‑day workflows and help them implement best‑in‑class AI tools in their workflows to help ensure that their experience with these tools and overall experience is the best it can be. This position will report to the R&D Leadership.
Responsibilitiesand Duties
- Be an expert in how software is developed, tested and delivered
- Have a deep knowledge of modern software development practices, including tools, frameworks, continuous integration (CI) and delivery (CD) workflows
- Have direct, hands‑on experience in developing or testing software, or in a Dev Ops or Site Reliability Engineering (SRE) capacity.
- Understand, implement and measure the impact of the AI tools available to developers, QA, Dev Ops engineers and SREs
- Act as a Subject Matter Expert (SME) to stakeholders in helping choose the appropriate tools, metrics and implementation approaches.
- Implement the currently available AI tools in the appropriate places in our Software Development Lifecycle
- Provide Proofs‑of‑Concept or Starter projects for teams so that they can utilize these tools quickly and efficiently
- Design and conduct pilot programs for implementation of new tools and technologies.
- Measure the adoption of these tools.
- Clearly demonstrate the benefits and drawbacks of these tools by choosing the appropriate metrics and measuring them.
- Continuously enhance your knowledge by experimenting with new use cases, tools, processes and broader industry trends.
- Manage a community of practice
- Evangelize the benefits and drawbacks of AI tooling and processes to the user community via internal communication channels.
- Communicate how to utilize these tools responsibly and without compromising code and application security.
- Using the adoption and usage metrics, identify areas of improvement and implement any practice changes necessary to improve outcomes.
- Host Lunch‑and‑Learns to provide opportunities for the community members to share their experiences with the broader community
- Conduct surveys to understand the user community’s perceptions of the use of AI tools, and their satisfaction with their implementation and changes to their quality of work
- Document best practices and…
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