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