Technology Enablement Engineer - SM Energy

The Technology Enablement Engineer works across every department at SM Energy to design, build, and operationalize analytics, automation, and AI solutions in our technology stack, while enabling business users to extend and maintain those solutions themselves. This role combines hands-on engineering — data pipelines, data models, dashboards, and AI workflows — with the technical mentorship that creates lasting self-sufficiency. The Engineer has a deep understanding of computer capabilities and the interfaces between analytic, automation, and AI applications and applies that knowledge to architect reliable, scalable, and well-tested solutions. The engineer will translate complex concepts for both technical and non-technical audiences. Acting as a trusted liaison between the business units, technology, and support teams, the Engineer resolves technical issues, right-sizes tools to problems, and raises the engineering rigor of solutions built across the organization. With a strong emphasis on the responsible delivery and adoption of AI, this individual works closely with the Data, Analytics Applications, GIS, and Enterprise Delivery teams to advance analytic and AI maturity and drive a data-first, AI-native culture across the organization.

Essential Roles and Responsibilities

• Teach and coach business users across all departments how to build robust, scalable, and sustainable analytics and automation solutions in our tech stack — building capability in others rather than building the solutions for them.
• Partner with the Technology Enablement Lead to build reusable frameworks, templates, and reference architectures — along with the training, workshops, and 1:1 technical support — that enable self-service data discovery, analytics, automation, and data science across the business.
• Champion the delivery and responsible adoption of AI across the enterprise — building and configuring prompting strategies, Claude and Claude Code integrations, connectors, and governed AI workflows for users at every skill level.
• Assist in generating and curating high-quality data sets that power SM Energy's internally developed AI chat assistant — designing, structuring, cleaning, and validating the curated data and semantic layers that ground the model's responses, and ensuring the underlying data is accurate, well-documented, and fit for AI consumption.
• Partner with data owners and subject-matter experts to identify authoritative sources, resolve data conflicts, and continuously improve the accuracy and coverage of the curated data sets that WellBuddy and other AI solutions rely on.
• Lead design and code reviews, defining requirements, acceptance criteria, and engineering standards so that solutions are effectively architected, developed, and tested prior to production release.