Role :-Prompt Engineer ( in-person interview )
Location:- Dauphin County PA.
Role Overview:
We are seeking a Prompt Engineer who can bridge business strategy, data analytics, and generative AI to drive measurable outcomes. This role is ideal for someone who doesn’t just write prompts, but understands how to frame the right questions, structure problems, and turn AI outputs into actionable business insights.
You will work closely with Product, Operations, and Applications teams to design, test, and optimize prompts that power decision-making, automate workflows, and enhance productivity across the organization.
Key Responsibilities
Design, iterate, and optimize prompts for LLMs (e.g., ChatGPT, Claude) to support analytics, reporting, and business decision workflows
Translate ambiguous business problems into structured prompt frameworks and AI-assisted solutions
Build prompt-driven systems for:
Executive reporting and narrative generation
KPI tracking and performance analysis
Customer insights, segmentation, and experimentation (A/B testing)
Collaborate cross-functionally to identify high-impact AI use cases across different applications
Evaluate and improve prompt performance using structured testing, feedback loops, and measurable success criteria
Combine SQL/Python-based analysis with AI-generated insights to deliver end-to-end solutions
Create reusable prompt libraries, templates, and best practices for internal teams
Communicate AI-driven insights clearly to stakeholders and senior leadership
Required Qualifications
4+ years of experience in business analytics, strategy, or data-driven roles
Hands-on experience using LLMs (e.g., ChatGPT, Claude) in a professional setting
Strong analytical skills with experience in SQL, Python, or similar tools
Experience designing KPI frameworks, dashboards, or executive reporting systems
Ability to structure problems using hypothesis-driven or consulting-style frameworks
Proven ability to translate complex data into clear, actionable insights
Strong stakeholder communication and presentation skills
Preferred Qualifications
Experience in financial services
Familiarity with A/B testing, cohort analysis, and performance optimization
Experience with BI tools (Power BI, Tableau, Looker)
Exposure to prompt evaluation techniques, guardrails, and output validation
Background in consulting frameworks (e.g., McKinsey, BCG-style problem solving)
