AI Enablement Engineer

Socure • New York, NY

4d • $210,000 - $230,000

About The Position

Socure is seeking an AI Enablement Engineer to accelerate AI adoption across engineering. This role focuses on turning standards, tooling patterns, and proven workflows into repeatable practices. It sits at the intersection of AI tooling enablement, developer productivity, engineering standards, lightweight training, feedback loops, and technical storytelling. The AI Enablement Engineer will act as a liaison between leaders defining AI foundations and the broader engineering organization, driving a standardized AI Development Lifecycle (AIDLC). This is a hands-on role focused on evangelizing standards, coordinating improvements based on feedback, and creating systems to keep the organization engaged.

Requirements

• 5+ years of experience in developer productivity, developer experience, technical enablement, engineering communications, technical program leadership, or a similar role in a fast-moving technical organization.
• Strong understanding of how modern engineering teams work, including software development lifecycles, code review, testing, developer tooling, platform/reliability concepts, and adoption of engineering standards.
• Strong experience using AI tools like Claude, ChatGPT, Gamma, Cursor, and related platforms to create content, package workflows, summarize information, and build reusable assets quickly from existing source material.
• Demonstrated ability to create reusable AI-assisted workflows, including prompt libraries, short-form enablement content, templates, and playbooks.
• Ability to turn evolving technical standards into clear, practical, high-frequency enablement for engineers and managers.
• Strong written and verbal communication skills, with the ability to translate complex technical ideas into concise, useful guidance for different audiences.
• Experience building feedback loops, adoption mechanisms, or learning systems that help organizations change behavior at scale.
• Comfort partnering across engineering leadership, platform teams, operations, recruiting, and business stakeholders.
• High ownership, strong judgment, attention to detail, and bias for action in ambiguous environments.

Nice To Haves

• Experience in B2B SaaS, platform engineering, identity/fraud/risk, fintech, or other technically complex environments.
• Familiarity with engineering productivity metrics, usage analytics, cost governance, or dashboarding 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.

Responsibilities

• Drive AI adoption and standardization across engineering by serving as the primary enablement partner for AI foundations, standards, and framework adoption.
• Evangelize AI tooling patterns, standards, and best practices 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 integrate AI into default engineering practice.
• Reinforce practical adoption through examples, demos, applied workflows, and direct support.
• Build and maintain a structured feedback loop with the engineering community to understand adoption challenges and areas for refinement.
• Coordinate continuous improvement of AI standards and frameworks by channeling field feedback to leaders.
• Create mechanisms to gather lightweight input from engineers on adoption blockers, tooling gaps, and workflow quality.
• Ensure the AIDLC working group stays connected to real engineering usage patterns.
• Translate recurring issues into clear recommendations for updates to playbooks, standards, templates, and training assets.
• Produce bite-size recordings, short snippets, and practical reminders to keep engineers engaged with evolving AI standards.
• Create concise do and do not guides, examples of strong AI-assisted workflows, review checklists, and quick-reference materials.
• Use AI tools to rapidly convert notes, strategy docs, and examples into reusable enablement assets.
• Build repeatable prompt patterns, templates, and content-generation workflows for reuse by the broader organization.
• Support office hours, hack sessions, team-specific enablement sessions, or time-zone-aware rollouts for hands-on guidance.
• Partner with engineering leads to define dashboards and metrics that track AIDLC adoption, AI tool usage, and productivity impact.
• Contribute to technical storytelling on the evolution of AI standards and the organization's trend toward standardized AIDLC behavior.
• Use metrics to create data-backed narratives about progress, gaps, and opportunities for adoption.
• Help package adoption metrics and success stories for leadership updates and reviews.
• Support the visibility of practical wins such as reduced delivery time and stronger code quality.
• Contribute to engineering onboarding by introducing new engineers to approved AI tools, standard workflows, and expected usage patterns.
• Create or refresh targeted onboarding assets related to AI tooling and engineering standards.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed