AI Enablement Lead

Advanced Tech Placement; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

Advanced Tech Placement is seeking a hands-on AI Enablement Lead to translate AI potential into shipped workflows. You will work closely with operations, marketing, sales, finance, and engineering to identify repetitive tasks and rebuild them around AI.

You will run office hours, design prompts and agents, and maintain a living library of tools and best practices. This role requires comfort with scripting and a practical, action-oriented mindset.

Qualifications

• 3–6 years of professional hands-on experience in engineering, operations, analytics, product, or related fields.
• Experience with Claude and Cursor in practical workflows and deployments.
• Ability to script (Python/JavaScript) and read code to modify tooling.
• Strong prompt engineering instincts and reliability in outputs from frontier models.
• Proven track record building workflows that combine LLMs with APIs, docs, or internal tools.
• Able to teach and guide teams; action-oriented and collaborative.
• Comfort collaborating with security, legal, and IT for guardrails.

Responsibilities

• Build and ship AI workflows by partnering with teams across operations, marketing, sales, finance, support, and engineering.
• Run office hours, pair sessions, lunch-and-learns, and Slack-based support as the in-house AI expert.
• Create prompts, projects, skills, and agents; maintain a library of reusable prompts and tools.
• Track the landscape of new model releases, tool updates, and techniques.
• Measure adoption, time saved, and quality improvements in concrete terms.
• Develop lightweight training and docs to raise AI fluency across the org.
• Collaborate with security, legal, and IT to keep guardrails practical and safe.

Skills

Claude experience

Cursor experience

Scripting

Prompt engineering

LLM workflows

Agent orchestration

APIs integration

Tools

Claude Projects

Cursor rules

MCP integrations

Java

Spring Boot

Angular

.NET

Job description

We are looking fora hands‑on AI Enablement Lead to help our team actually use AI – not talk about it. This is a doer role for someone who already lives inside tools like Claude, Cursor, and the broader agentic ecosystem, and who gets a kick out of showing a skeptical colleague how to shave hours off their week. You’ll sit close to the work, embed with teams across the company, and turn “we should try AI for this” into shipped, repeatable workflows. You’ll also be our eyes and ears on a landscape that changes weekly, bringing the best of it back to the org in a form people can actually adopt. This isn’t a strategy-deck role. It’s a roll‑up‑your‑sleeves role for a practitioner.

Responsibilities

• Build and ship AI workflows by partnering directly with people across operations, marketing, sales, finance, support, and engineering to identify painful or repetitive work and rebuild it around AI.
• Be the in‑house expert by running office hours, pair sessions, lunch‑and‑learns, and Slack-based support.
• Build prompts, projects, skills, and agents, maintaining a living library of reusable prompts, Claude Projects, Cursor rules, custom skills, and small automations.
• Track the landscape by staying on top of new model releases, tool updates, and techniques.
• Measure what works by tracking adoption, time saved, and quality improvements in concrete terms.
• Raise the floor and the ceiling by creating lightweight training and documentation that brings everyone up to a baseline of AI fluency.
• Keep it safe and sensible by partnering with security, legal, and IT on practical guardrails.

Requirements

• 3‑6 years of professional experience in a hands‑on role (engineering, ops, analytics, product, technical PM, consulting, or similar).

Required Skills

• Real, daily experience with Claude – Projects, Artifacts, MCP, Claude Code, or the API.
• Real, daily experience with Cursor – rules, composer, agent mode, MCP integrations.
• Comfort with at least light scripting (Python, JavaScript, or similar) and reading code well enough to modify it.
• Strong prompt engineering instincts and an understanding of how to get reliable output from frontier models.
• Experience building workflows that combine LLMs with APIs, documents, spreadsheets, or internal tools.
• A teacher’s temperament – patient, clear, and good at meeting people where they are.
• Bias to action – you’d rather ship a rough v1 today than a polished v1 next month.

Preferred Skills

• Experience with other frontier tools (ChatGPT/Codex, Gemini, Copilot, v0, Replit Agent, Windsurf, etc.).
• Experience with agent frameworks, MCP servers, RAG, or evals.
• Hands‑on experience orchestrating multiple agents or sub‑agents for non‑trivial workflows.
• Familiarity with our tech stack – Java, Spring Boot, Angular, and .NET – is a strong bonus.
• Background in ops, revenue operations, or internal tooling.
• A public footprint – blog, GitHub, newsletter, demos – showing how you think about AI.