AI Enablement Engineer
Socure · Hybrid · Hub - New York · $210k–$230k
Posted by Socure on their careers site · View the original posting
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The posting, as Socure wrote it
WHY SOCURE?
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
ABOUT THE ROLE
We are looking for an AI Enablement Engineer to accelerate AI adoption across engineering by turning standards, tooling patterns, and proven workflows into repeatable day-to-day practice. This role sits at the intersection of AI tooling enablement, developer productivity, engineering standards, lightweight training, feedback loops, and technical storytelling.
You will serve as the connective tissue between the leaders defining AI foundations and standards and the broader engineering organization that needs to adopt them. This is not a passive communications role. It is a hands-on, builder-oriented role focused on driving a more standardized AI Development Lifecycle (AIDLC) across engineering.
You will help evangelize the standards and frameworks being built by engineering leaders, coordinate the continuous improvement of those standards based on feedback from engineers in the field, and create the lightweight systems that keep the organization engaged and improving over time.
WHAT YOU’LL DO
Drive AI adoption and standardization across engineering
- Serve as the primary enablement partner for AI foundations, standards, and framework adoption across the engineering organization.
- Evangelize the AI tooling patterns, standards, and best practices being defined by engineering leaders and working groups.
- Help move the organization toward a standardized AIDLC process by making expected behaviors, workflows, and quality bars explicit and easy to adopt.
- Partner with leaders across platform, engineering, and operations to identify where AI should become part of default engineering practice rather than an optional side project.
- Reinforce practical adoption through examples, short demos, applied workflows, and direct support rather than relying only on broad show-and-tell sessions.
Own the feedback loop and continuous improvement motion
- Build and maintain a structured feedback loop with the engineering community to understand what is working, where friction exists, and which standards or workflows need refinement.
- Coordinate continuous improvement of AI standards and frameworks, not just their rollout, by channeling field feedback back to the leaders building them.
- Create mechanisms to gather lightweight input from engineers, team leads, and manager
[…]
related to AI tooling.
- Experience running office hours, technical communities, guilds, brown bags, or other structured enablement programs.
- Familiarity with tools such as Notion, Confluence, Slack, Jira, Glean, LearnUpon, Jellyfish, or knowledge automation systems.
- Experience creating executive-ready materials from raw technical inputs.
WHY THIS ROLE MATTERS
Socure is moving quickly toward a more agent-enabled engineering model, but adoption is still uneven and too reliant on a small number of power users. Without dedicated enablement, strong standards can remain disconnected from daily engineering behavior. This role closes that gap by helping the org adopt, improve, and operationalize AI standards in a way that is practical, measurable, and durable
EXAMPLE FIRST-YEAR FOCUS AREAS
- Build the enablement system around the AIDLC working group charter and standards rollout.
- Launch a regular cadence of bite-size AI practice content, short demos, and standards reminders.
- Create feedback loops that continuously improve AI playbooks, templates, and standards based on engineering input.
- Partner with engineering leads to define adoption dashboards and track progress toward standardized AIDLC usage.
- Package success stories and metrics that show how AI tooling is improving engineering productivity and consistency.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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