🛠 Tech Stack

💼 About This Role

You'll identify and quantify AI automation opportunities across the enterprise and build functional prototypes to validate business cases. You'll act as a bridge between stakeholders and engineering, proving value with working demos before production investment. This hybrid role combines analytical rigor with hands-on AI tooling.

🎯 What You'll Do

• Maintain pipeline of AI automation opportunities from business unit intake and discovery.
• Build business cases with quantified ROI: cost savings, revenue lift, hours offloaded.
• Build functional prototypes using LLMs, agent frameworks, and prompt libraries.
• Deliver monthly executive reports on pipeline health and realized impact.

📋 Requirements

• 3+ years in business analysis, management consulting, or product operations.
• Hands-on experience using LLMs and agent tooling (prompting, evaluations, orchestration).
• Working proficiency in Python and SQL for data manipulation and debugging.
• Strong financial acumen: ROI modeling, sensitivity analysis, cost-benefit frameworks.

✨ Nice to Have

• Bachelor's or Master's in Business, Engineering, or Computer Science.
• Experience with agent frameworks like LangGraph, AutoGen, or MCP.
• Domain knowledge in a compliance-heavy industry (healthcare, financial services, insurance).

🎁 Benefits & Perks

• 🏖️ Health Insurance including medical, dental, vision.
• 💰 401k with company match.
• 🏖️ PTO 18+ days paid time off.
• 🛡️ Company-paid disability insurance.
• ⚕️ Life Insurance coverage.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Executive Interview· 45 min

🚩 Heads Up

• Role combines BA duties with hands-on AI prototyping; may dilute focus.
• Requirements include both financial modeling and tech skills; could be challenging to find right candidate.
• Visa sponsorship explicitly not offered; limits candidate pool.