At Nox Group, we are dedicated to humanizing construction as one of the fastest-growing industrial enterprises in the US. Nox Group owns and operates Corbins, RMCI, Nox Innovations, and Construction Labels, and our teams set the standard as industry leaders. As we continue to expand our reach nationwide, we seek people who are passionate about personal growth and eager to make a positive impact throughout the industries and communities we serve. We prioritize our people, our partners, and our relationships. Start your journey today and join our skilled team.

Nox Group is scaling its Claude AI rollout from executive and director-level use to team-wide adoption across our subsidiaries. We're looking for an AI Enablement Lead to own the next phase: working directly with directors and their teams to turn identified use cases into real, working AI tools — primarily in the form of Claude “skills,” reusable prompts, and guided workflows — and to train frontline teams to use them confidently and correctly.

This is not a software engineering role. The ideal candidate is a strong communicator and systems thinker who deeply understands how Claude works (skills, projects, prompting, context management) and can translate a subject-matter expert's tacit knowledge into a reliable, documented, repeatable AI workflow — without needing to write production code.

Key Responsibilities

Use Case → Solution Translation

Partner with directors and team leads to gather and prioritize AI use cases surfaced during rollout
Run structured interviews/working sessions with SMEs to extract process knowledge (similar to Standard Works development)
Design and build Claude skills, custom Projects, and prompt templates that solve real team workflows

Skill & Content Development

Own the end-to-end skill creation pipeline: intake → drafting → testing → documentation → deployment
Maintain a library of reusable skills, prompt patterns, and example outputs across subsidiaries
Ensure consistency with existing Nox Group AI assets (Guru knowledge base, AI Acceptable Use Policy, branded templates)

Training & Enablement

Design and deliver onboarding/training for teams receiving new Claude access or skills
Create simple, non-technical documentation (quick-start guides, FAQs, video walkthroughs)
Act as the first line of support for “how do I use this” and “can Claude do X” questions

Program Management

Track adoption metrics by department/subsidiary (usage, seat utilization, use case throughput)
Maintain a rolling backlog of requested use cases and report status to ELT/directors
Identify patterns across departments where a single skill could serve multiple teams

Governance & Quality

Ensure new skills/use cases comply with the AI Acceptable Use Policy
Flag use cases that need engineering involvement (e.g., MCP/API integration) and coordinate handoff to the technical team
Maintain quality/testing standards so skills behave predictably before wide release

Required Qualifications

3+ years in a role involving process documentation, training/L&D, business analysis, instructional design, or knowledge management
Hands-on, practical fluency with Claude or a comparable LLM (extensive personal or professional use — not just awareness)
Demonstrated experience building or maintaining a prompt/skill library, custom instructions, or similar AI configuration work
Demonstrated ability to translate ambiguous, real-world processes into clear, structured documentation
Strong facilitation skills — comfortable running working sessions with directors and frontline staff alike
Excellent written communication; able to write for a non-technical audience
Self-directed; comfortable owning a program with light day-to-day oversight

Preferred Qualifications

Background in construction, industrial, or multi-entity/subsidiary organizations
Experience designing training programs or adult-learning curricula
Basic understanding of what's technically feasible (APIs, integrations) even without building it themselves — enough to scope work for engineering

Explicitly Not Required

Software engineering or programming experience
Data science / ML model development background

Success Metrics (First 6–12 Months)

Number of teams onboarded beyond ELT/directors
Number of production skills built and actively used
Reduction in “how do I...” support requests via better docs/training
Director/team satisfaction with AI tools (qualitative feedback)
Use case backlog conversion rate (requested → shipped)

It has been and continues to be the long-standing policy of any Nox Group operating company to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, or genetics. In addition to federal law requirements, Nox Group and all of its subsidiaries comply with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.