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AI Enablement Engineer (Gen AI Coach)

Zyxware Technologies

Remotecontract2 days ago
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ملخص NerdLevelTech الذكي

#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

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