AI Enablement Engineer (Gen AI Coach)
Zyxware Technologies
NLT AI Summary
#Hiring
Job Title: AI Enablement Engineer (Gen AI Coach)
Location : REMOTE
Role Overview
We are looking for a highly hands-on AI practitioner who can build, prototype, and scale AI-driven solutions while also coaching business users to effectively leverage enterprise AI tools. This is not a traditional program management role—this role requires someone who can get their hands dirty, rapidly prototype use cases, and enable teams to build their own solutions.
Key Responsibilities
• Hands-on AI Solution Development
Rapidly prototype AI solutions (1–2 week cycles) for business use cases
Build and refine
Prompt workflows
Custom GPTs / Gemini Gems
Notebooks / AI-assisted tools
Diagnose and fix issues in AI outputs (prompt quality, logic, structure)
Translate ambiguous business problems into working AI solutions
• AI Enablement & Coaching
Coach business users on:
Prompt engineering best practices
Breaking down complex workflows into modular prompts
Designing reusable AI solutions
Partner with teams to
Identify high-value use cases
Improve existing AI implementations
Guide users from idea → working prototype → scalable solution
• Scaling & Operationalization
Identify which prototypes should be:
Scaled across teams
Handed off to engineering for productionization
Design reusable frameworks/templates for AI use cases
Drive adoption and deeper utilization of enterprise AI tools
• Cross-Functional Collaboration
Work directly with business units (e.g., capital markets, operations, etc.)
Act as a bridge between:
Business users
AI tooling
Engineering teams
Support 2–3 parallel use cases across short sprint cycles
Core Skill Requirements
Must-Have
Strong hands-on experience with
Prompt engineering (advanced, not basic)
Building AI workflows (LLMs, agents, notebooks, etc.)
Experience with tools such as
Gemini (primary)
ChatGPT
Claude
Ability to
Debug why an AI output is failing
Improve prompts and workflows quickly
Proven ability to build prototypes from scratch
Nice-to-Have
Experience with
AI agents / automation workflows
Notebook-based AI development
Internal enterprise AI rollouts
Familiarity with scaling AI solutions across teams