Prompt Engineer
Position Type: Onsite
Contract Length: Long-term with annual extensions Position Overview:
This role is focused on leveraging generative AI, business analytics, and strategic problem-solving to improve decision-making, automate workflows, and drive measurable business outcomes. The ideal candidate will partner across technical and operational teams to develop prompt-driven AI solutions, translate complex business challenges into structured frameworks, and deliver actionable insights through data analysis and AI-enabled reporting. Duties:
- Design, test, and optimize prompts for Large Language Models (LLMs) such as ChatGPT and Claude to support analytics, reporting, and operational workflows
- Translate complex or ambiguous business challenges into structured AI-driven solutions and prompt frameworks
- Develop prompt-based systems for executive reporting, narrative generation, KPI tracking, and performance analysis
- Support customer insights initiatives, segmentation strategies, experimentation, and A/B testing efforts
- Collaborate with Product, Operations, and Application teams to identify and implement high-impact AI use cases
- Evaluate prompt effectiveness through structured testing methodologies, feedback loops, and performance metrics
- Combine SQL, Python, and AI-generated outputs to deliver end-to-end analytical and business solutions
- Build and maintain reusable prompt libraries, templates, standards, and best practices for internal stakeholders
- Communicate AI-generated insights and analytical findings to leadership and cross-functional stakeholders
- Design and support KPI frameworks, dashboards, and executive-level reporting processes
- Apply hypothesis-driven and consulting-style problem-solving approaches to business and operational challenges
- Assist with prompt evaluation, guardrails, validation processes, and AI output quality improvement initiatives
- Utilize BI and analytics tools such as Power BI, Tableau, or Looker to support reporting and visualization efforts
Required Qualifications
- Master of Science degree required
- 4+ years of experience in business analytics, strategy, or other data-driven roles
- Hands-on professional experience working with Large Language Models (LLMs) such as ChatGPT and Claude
- Strong analytical and technical skills with experience using SQL, Python, or similar analytical tools
- Experience designing KPI frameworks, dashboards, and executive reporting solutions
- Ability to structure and solve complex business problems using hypothesis-driven or consulting-style methodologies
- Proven ability to translate complex datasets and findings into clear, actionable business insights
- Strong stakeholder communication, collaboration, and presentation skills
Preferred Qualifications
- Experience working within the financial services industry
- Familiarity with A/B testing, cohort analysis, and performance optimization methodologies
- Experience using BI and data visualization tools such as Power BI, Tableau, or Looker
- Exposure to prompt evaluation techniques, AI guardrails, and output validation processes
- Background utilizing consulting frameworks such as McKinsey or BCG-style problem-solving approaches
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