Prompt Engineer

Prompt Engineer

Dayton, OH

Pay From

$60 an hour

MUST

Experienced Prompt Engineer

Secret clearance or higher required

5+ years of experience required with a degree, 10+ years needed without degree

Experience with Python

Experience architecting AI solutions

Experience in context engineering

Experience with multiple LLM vendors and their models

Experience in one or more scripting languages

Excellent written and verbal communications

Experience with Agile development methodologies and roles

Logical thinker; able to articulate thoughts both verbally and diagrammatically

Bachelor’s preferred

DUTIES

The Prompt Engineer will work with a team to provide high-quality service to our customers in managing a portfolio of systems. This role is responsible for exploring and developing AI proofs of concept as they pertain to data management and enterprise architecture.

This position is a collaborative role that provides support for analysis and research into our team- and enterprise-wide processes. This position is also responsible for documenting AI use case journeys so that they can be adequately articulated to all audiences and so that limitations are understood.

The Prompt Engineer will work within an agile team to provide high-quality service to our customers by applying analytical techniques to determine solutions based on client requirements within an IT services/solutions scope.

They will analyze and reverse-engineer business and technical artifacts, such as data models, data catalogs, design documentation, and interfaces, to capture, store, and maintain relevant metadata for the systems within the portfolio.

Analyze operational activities to obtain a quantitative, rational basis for decision making and resource allocation

Conceptually understand and convey to stakeholders and leadership complex topics related to data management, data governance, and data maturity

Work with subject matter experts (SME) across organizations to collect and update business and technical metadata

Reverse engineer data models and other design or build artifacts to extract relevant business and technical metadata and load into a metadata repository

Review submitted data to detect data quality problems and anomalies, and help the organization correct data: both current and historical

Collects and analyzes data and associated system artifacts for stakeholders to use in perfecting their business practices

Performs analysis to determine how data might best be applied to benefit the stakeholders

Develops ETL routines to load and curate disparate data sets

Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. “Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act“.